Overview

Brought to you by YData

Dataset statistics

Number of variables563
Number of observations7352
Missing cells0
Missing cells (%)0.0%
Total size in memory31.6 MiB
Average record size in memory4.4 KiB

Variable types

Numeric562
Text1

Alerts

tBodyAcc-mean()-Y has unique values Unique
tBodyAcc-mad()-Y has unique values Unique
tBodyAcc-arCoeff()-X,1 has unique values Unique
tBodyAcc-arCoeff()-X,2 has unique values Unique
tBodyAcc-arCoeff()-X,4 has unique values Unique
tBodyAcc-arCoeff()-Y,1 has unique values Unique
tBodyAcc-arCoeff()-Y,2 has unique values Unique
tBodyAcc-arCoeff()-Y,3 has unique values Unique
tBodyAcc-arCoeff()-Y,4 has unique values Unique
tBodyAcc-arCoeff()-Z,1 has unique values Unique
tBodyAcc-arCoeff()-Z,2 has unique values Unique
tBodyAcc-arCoeff()-Z,4 has unique values Unique
tBodyAcc-correlation()-X,Y has unique values Unique
tBodyAcc-correlation()-X,Z has unique values Unique
tBodyAcc-correlation()-Y,Z has unique values Unique
tGravityAcc-mean()-Y has unique values Unique
tGravityAcc-mean()-Z has unique values Unique
tGravityAcc-sma() has unique values Unique
tGravityAcc-arCoeff()-X,1 has unique values Unique
tGravityAcc-arCoeff()-X,4 has unique values Unique
tGravityAcc-arCoeff()-Y,1 has unique values Unique
tGravityAcc-arCoeff()-Y,2 has unique values Unique
tGravityAcc-arCoeff()-Y,4 has unique values Unique
tGravityAcc-arCoeff()-Z,1 has unique values Unique
tGravityAcc-arCoeff()-Z,2 has unique values Unique
tGravityAcc-arCoeff()-Z,4 has unique values Unique
tGravityAcc-correlation()-X,Y has unique values Unique
tGravityAcc-correlation()-X,Z has unique values Unique
tBodyAccJerk-mean()-X has unique values Unique
tBodyAccJerk-mean()-Y has unique values Unique
tBodyAccJerk-mean()-Z has unique values Unique
tBodyAccJerk-arCoeff()-X,1 has unique values Unique
tBodyAccJerk-arCoeff()-X,2 has unique values Unique
tBodyAccJerk-arCoeff()-X,3 has unique values Unique
tBodyAccJerk-arCoeff()-X,4 has unique values Unique
tBodyAccJerk-arCoeff()-Y,1 has unique values Unique
tBodyAccJerk-arCoeff()-Y,2 has unique values Unique
tBodyAccJerk-arCoeff()-Y,4 has unique values Unique
tBodyAccJerk-arCoeff()-Z,1 has unique values Unique
tBodyAccJerk-arCoeff()-Z,2 has unique values Unique
tBodyAccJerk-arCoeff()-Z,3 has unique values Unique
tBodyAccJerk-arCoeff()-Z,4 has unique values Unique
tBodyAccJerk-correlation()-X,Y has unique values Unique
tBodyAccJerk-correlation()-X,Z has unique values Unique
tBodyGyro-mean()-X has unique values Unique
tBodyGyro-mean()-Y has unique values Unique
tBodyGyro-std()-Y has unique values Unique
tBodyGyro-arCoeff()-X,1 has unique values Unique
tBodyGyro-arCoeff()-X,2 has unique values Unique
tBodyGyro-arCoeff()-Y,2 has unique values Unique
tBodyGyro-arCoeff()-Z,1 has unique values Unique
tBodyGyro-arCoeff()-Z,2 has unique values Unique
tBodyGyro-arCoeff()-Z,3 has unique values Unique
tBodyGyro-arCoeff()-Z,4 has unique values Unique
tBodyGyro-correlation()-X,Z has unique values Unique
tBodyGyro-correlation()-Y,Z has unique values Unique
tBodyGyroJerk-mean()-X has unique values Unique
tBodyGyroJerk-mean()-Y has unique values Unique
tBodyGyroJerk-mean()-Z has unique values Unique
tBodyGyroJerk-arCoeff()-X,2 has unique values Unique
tBodyGyroJerk-arCoeff()-X,3 has unique values Unique
tBodyGyroJerk-arCoeff()-X,4 has unique values Unique
tBodyGyroJerk-arCoeff()-Y,2 has unique values Unique
tBodyGyroJerk-arCoeff()-Y,3 has unique values Unique
tBodyGyroJerk-arCoeff()-Y,4 has unique values Unique
tBodyGyroJerk-arCoeff()-Z,1 has unique values Unique
tBodyGyroJerk-arCoeff()-Z,2 has unique values Unique
tBodyGyroJerk-arCoeff()-Z,3 has unique values Unique
tBodyGyroJerk-arCoeff()-Z,4 has unique values Unique
tBodyGyroJerk-correlation()-X,Z has unique values Unique
tBodyGyroJerk-correlation()-Y,Z has unique values Unique
tBodyAccMag-arCoeff()1 has unique values Unique
tBodyAccMag-arCoeff()2 has unique values Unique
tBodyAccMag-arCoeff()3 has unique values Unique
tBodyAccMag-arCoeff()4 has unique values Unique
tGravityAccMag-arCoeff()1 has unique values Unique
tGravityAccMag-arCoeff()2 has unique values Unique
tGravityAccMag-arCoeff()3 has unique values Unique
tGravityAccMag-arCoeff()4 has unique values Unique
tBodyAccJerkMag-arCoeff()2 has unique values Unique
tBodyAccJerkMag-arCoeff()3 has unique values Unique
tBodyAccJerkMag-arCoeff()4 has unique values Unique
tBodyGyroMag-mean() has unique values Unique
tBodyGyroMag-std() has unique values Unique
tBodyGyroMag-sma() has unique values Unique
tBodyGyroMag-arCoeff()1 has unique values Unique
tBodyGyroJerkMag-std() has unique values Unique
tBodyGyroJerkMag-arCoeff()1 has unique values Unique
tBodyGyroJerkMag-arCoeff()3 has unique values Unique
tBodyGyroJerkMag-arCoeff()4 has unique values Unique
fBodyAcc-std()-Y has unique values Unique
fBodyAcc-mad()-Y has unique values Unique
fBodyAcc-mad()-Z has unique values Unique
fBodyAcc-max()-Y has unique values Unique
fBodyAcc-max()-Z has unique values Unique
fBodyAcc-meanFreq()-X has unique values Unique
fBodyAcc-meanFreq()-Y has unique values Unique
fBodyAcc-meanFreq()-Z has unique values Unique
fBodyAcc-skewness()-Y has unique values Unique
fBodyAcc-kurtosis()-Y has unique values Unique
fBodyAcc-kurtosis()-Z has unique values Unique
fBodyAccJerk-meanFreq()-Y has unique values Unique
fBodyAccJerk-meanFreq()-Z has unique values Unique
fBodyAccJerk-skewness()-X has unique values Unique
fBodyAccJerk-kurtosis()-X has unique values Unique
fBodyAccJerk-skewness()-Y has unique values Unique
fBodyGyro-std()-Z has unique values Unique
fBodyGyro-mad()-Z has unique values Unique
fBodyGyro-max()-Y has unique values Unique
fBodyGyro-meanFreq()-X has unique values Unique
fBodyGyro-meanFreq()-Y has unique values Unique
fBodyGyro-meanFreq()-Z has unique values Unique
fBodyGyro-skewness()-X has unique values Unique
fBodyGyro-kurtosis()-X has unique values Unique
fBodyGyro-skewness()-Y has unique values Unique
fBodyGyro-kurtosis()-Y has unique values Unique
fBodyGyro-skewness()-Z has unique values Unique
fBodyGyro-kurtosis()-Z has unique values Unique
fBodyAccMag-std() has unique values Unique
fBodyAccMag-meanFreq() has unique values Unique
fBodyAccMag-skewness() has unique values Unique
fBodyAccMag-kurtosis() has unique values Unique
fBodyBodyAccJerkMag-meanFreq() has unique values Unique
fBodyBodyAccJerkMag-skewness() has unique values Unique
fBodyBodyAccJerkMag-kurtosis() has unique values Unique
fBodyBodyGyroMag-meanFreq() has unique values Unique
fBodyBodyGyroMag-skewness() has unique values Unique
fBodyBodyGyroMag-kurtosis() has unique values Unique
fBodyBodyGyroJerkMag-meanFreq() has unique values Unique
fBodyBodyGyroJerkMag-kurtosis() has unique values Unique
angle(tBodyAccMean,gravity) has unique values Unique
angle(tBodyAccJerkMean),gravityMean) has unique values Unique
angle(tBodyGyroMean,gravityMean) has unique values Unique
angle(tBodyGyroJerkMean,gravityMean) has unique values Unique
angle(X,gravityMean) has unique values Unique
angle(Y,gravityMean) has unique values Unique
angle(Z,gravityMean) has unique values Unique
fBodyAccJerk-maxInds-X has 189 (2.6%) zeros Zeros
fBodyAccJerk-maxInds-Y has 107 (1.5%) zeros Zeros
fBodyAccJerk-maxInds-Z has 191 (2.6%) zeros Zeros

Reproduction

Analysis started2025-03-02 04:33:19.723884
Analysis finished2025-03-02 04:33:21.853639
Duration2.13 seconds
Software versionydata-profiling vv4.12.2
Download configurationconfig.json

Variables

tBodyAcc-mean()-X
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.274488125
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative38
Negative (%)0.5%
Memory size57.6 KiB
2025-03-02T10:03:21.896404image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.178147978
Q10.2629752325
median0.277193355
Q30.288461125
95-th percentile0.374708086
Maximum1
Range2
Interquartile range (IQR)0.0254858925

Descriptive statistics

Standard deviation0.07026133267
Coefficient of variation (CV)0.2559722126
Kurtosis50.91139067
Mean0.274488125
Median Absolute Deviation (MAD)0.012449485
Skewness-3.448322494
Sum2018.036695
Variance0.004936654868
MonotonicityNot monotonic
2025-03-02T10:03:21.948399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.27743154 2
 
< 0.1%
0.28001367 2
 
< 0.1%
0.27908612 2
 
< 0.1%
0.27770711 2
 
< 0.1%
0.26963511 2
 
< 0.1%
0.23762856 1
 
< 0.1%
0.30118103 1
 
< 0.1%
0.28172888 1
 
< 0.1%
0.26816371 1
 
< 0.1%
0.28858451 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.87239538 1
< 0.1%
-0.85384825 1
< 0.1%
-0.50382267 1
< 0.1%
-0.46644048 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.69276103 1
< 0.1%
0.6802662 1
< 0.1%
0.63262707 1
< 0.1%
0.6315101 1
< 0.1%

tBodyAcc-mean()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01769542736
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6399
Negative (%)87.0%
Memory size57.6 KiB
2025-03-02T10:03:21.994705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.0552813847
Q1-0.02486300975
median-0.0172191435
Q3-0.01078298
95-th percentile0.01774930165
Maximum1
Range2
Interquartile range (IQR)0.01408002975

Descriptive statistics

Standard deviation0.04081052457
Coefficient of variation (CV)-2.306275161
Kurtosis172.4857226
Mean-0.01769542736
Median Absolute Deviation (MAD)0.006994409
Skewness-0.4029946091
Sum-130.0967819
Variance0.001665498916
MonotonicityNot monotonic
2025-03-02T10:03:22.041606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.020294171 1
 
< 0.1%
-0.023520324 1
 
< 0.1%
-0.023574513 1
 
< 0.1%
-0.025288114 1
 
< 0.1%
-0.018994356 1
 
< 0.1%
-0.0069239142 1
 
< 0.1%
-0.0087989111 1
 
< 0.1%
-0.011892417 1
 
< 0.1%
-0.013370914 1
 
< 0.1%
-0.019423292 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.68489328 1
< 0.1%
-0.68409659 1
< 0.1%
-0.61809842 1
< 0.1%
-0.59420738 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.64674689 1
< 0.1%
0.59451302 1
< 0.1%
0.53581987 1
< 0.1%
0.44923424 1
< 0.1%

tBodyAcc-mean()-Z
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1091410202
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7231
Negative (%)98.4%
Memory size57.6 KiB
2025-03-02T10:03:22.088173image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.1732775565
Q1-0.1209928175
median-0.10867625
Q3-0.09779358325
95-th percentile-0.0475158984
Maximum1
Range2
Interquartile range (IQR)0.02319923425

Descriptive statistics

Standard deviation0.05663518808
Coefficient of variation (CV)-0.5189175253
Kurtosis85.97501295
Mean-0.1091410202
Median Absolute Deviation (MAD)0.0116585275
Skewness1.784469497
Sum-802.4047802
Variance0.003207544529
MonotonicityNot monotonic
2025-03-02T10:03:22.195916image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.10805992 2
 
< 0.1%
-0.10566194 2
 
< 0.1%
-0.10631484 2
 
< 0.1%
-0.13290514 1
 
< 0.1%
-0.11168076 1
 
< 0.1%
-0.072297406 1
 
< 0.1%
-0.073268424 1
 
< 0.1%
-0.094658425 1
 
< 0.1%
-0.12059308 1
 
< 0.1%
-0.10338294 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.92598834 1
< 0.1%
-0.82550825 1
< 0.1%
-0.75752588 1
< 0.1%
-0.57475334 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94879499 1
< 0.1%
0.85071961 1
< 0.1%
0.71909398 1
< 0.1%
0.54393929 1
< 0.1%

tBodyAcc-std()-X
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6054384511
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6480
Negative (%)88.1%
Memory size57.6 KiB
2025-03-02T10:03:22.243056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9975181775
Q1-0.992753715
median-0.946196395
Q3-0.2428128
95-th percentile0.2048189295
Maximum1
Range2
Interquartile range (IQR)0.749940915

Descriptive statistics

Standard deviation0.4487343845
Coefficient of variation (CV)-0.7411725893
Kurtosis-0.8656067676
Mean-0.6054384511
Median Absolute Deviation (MAD)0.05169058
Skewness0.677429926
Sum-4451.183493
Variance0.2013625478
MonotonicityNot monotonic
2025-03-02T10:03:22.291575image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99892523 2
 
< 0.1%
-0.99490022 2
 
< 0.1%
-0.9906484 2
 
< 0.1%
-0.9952786 1
 
< 0.1%
-0.89078074 1
 
< 0.1%
-0.9666756 1
 
< 0.1%
-0.97493284 1
 
< 0.1%
-0.98034345 1
 
< 0.1%
-0.98350153 1
 
< 0.1%
-0.98883666 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9998972 1
< 0.1%
-0.99985047 1
< 0.1%
-0.99981319 1
< 0.1%
-0.99971749 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89992208 1
< 0.1%
0.87694158 1
< 0.1%
0.85331715 1
< 0.1%
0.81710448 1
< 0.1%

tBodyAcc-std()-Y
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.510937561
Minimum-0.99987292
Maximum0.91623796
Zeros0
Zeros (%)0.0%
Negative5740
Negative (%)78.1%
Memory size57.6 KiB
2025-03-02T10:03:22.338612image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99987292
5-th percentile-0.9936422685
Q1-0.9781288425
median-0.85189664
Q3-0.03423080425
95-th percentile0.292230113
Maximum0.91623796
Range1.91611088
Interquartile range (IQR)0.9438980383

Descriptive statistics

Standard deviation0.5026446547
Coefficient of variation (CV)-0.9837692375
Kurtosis-1.452670581
Mean-0.510937561
Median Absolute Deviation (MAD)0.14279234
Skewness0.4058918828
Sum-3756.412948
Variance0.2526516489
MonotonicityNot monotonic
2025-03-02T10:03:22.390241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99044293 2
 
< 0.1%
-0.98311061 1
 
< 0.1%
-0.88012654 1
 
< 0.1%
-0.90818914 1
 
< 0.1%
-0.90703718 1
 
< 0.1%
-0.92866596 1
 
< 0.1%
-0.89110697 1
 
< 0.1%
-0.8757834 1
 
< 0.1%
-0.9171612 1
 
< 0.1%
-0.96645434 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.99987292 1
< 0.1%
-0.99984424 1
< 0.1%
-0.99852372 1
< 0.1%
-0.99848289 1
< 0.1%
-0.99839766 1
< 0.1%
ValueCountFrequency (%)
0.91623796 1
< 0.1%
0.87303705 1
< 0.1%
0.83739298 1
< 0.1%
0.83209367 1
< 0.1%
0.81416036 1
< 0.1%

tBodyAcc-std()-Z
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6047536905
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6682
Negative (%)90.9%
Memory size57.6 KiB
2025-03-02T10:03:22.436864image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9931141775
Q1-0.9802331225
median-0.859364595
Q3-0.26241483
95-th percentile0.127422707
Maximum1
Range2
Interquartile range (IQR)0.7178182925

Descriptive statistics

Standard deviation0.4186867105
Coefficient of variation (CV)-0.6923260114
Kurtosis-0.6112521136
Mean-0.6047536905
Median Absolute Deviation (MAD)0.134887175
Skewness0.6923356869
Sum-4446.149133
Variance0.1752985615
MonotonicityNot monotonic
2025-03-02T10:03:22.483846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9879606 2
 
< 0.1%
-0.97281397 2
 
< 0.1%
-0.91352645 1
 
< 0.1%
-0.94601951 1
 
< 0.1%
-0.85129629 1
 
< 0.1%
-0.83737762 1
 
< 0.1%
-0.88652709 1
 
< 0.1%
-0.91091411 1
 
< 0.1%
-0.93810608 1
 
< 0.1%
-0.95703432 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99966678 1
< 0.1%
-0.99945444 1
< 0.1%
-0.99940654 1
< 0.1%
-0.99924206 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9313081 1
< 0.1%
0.90253247 1
< 0.1%
0.88859925 1
< 0.1%
0.85950834 1
< 0.1%

tBodyAcc-mad()-X
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6305121266
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6667
Negative (%)90.7%
Memory size57.6 KiB
2025-03-02T10:03:22.530012image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997784561
Q1-0.993590655
median-0.95070914
Q3-0.29268009
95-th percentile0.1463691315
Maximum1
Range2
Interquartile range (IQR)0.700910565

Descriptive statistics

Standard deviation0.4240726663
Coefficient of variation (CV)-0.6725844728
Kurtosis-0.6844671986
Mean-0.6305121266
Median Absolute Deviation (MAD)0.047453175
Skewness0.7293848748
Sum-4635.525155
Variance0.1798376263
MonotonicityNot monotonic
2025-03-02T10:03:22.577492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99776964 2
 
< 0.1%
-0.99740329 2
 
< 0.1%
-0.99501886 2
 
< 0.1%
-0.9977254 2
 
< 0.1%
-0.99520146 2
 
< 0.1%
-0.98981125 1
 
< 0.1%
-0.99073373 1
 
< 0.1%
-0.99420888 1
 
< 0.1%
-0.98865233 1
 
< 0.1%
-0.99547742 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99988086 1
< 0.1%
-0.99986742 1
< 0.1%
-0.99979765 1
< 0.1%
-0.99976732 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95075764 1
< 0.1%
0.87685903 1
< 0.1%
0.85282172 1
< 0.1%
0.80744878 1
< 0.1%

tBodyAcc-mad()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5269074314
Minimum-1
Maximum0.96766404
Zeros0
Zeros (%)0.0%
Negative5937
Negative (%)80.8%
Memory size57.6 KiB
2025-03-02T10:03:22.623482image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9932738705
Q1-0.9781621275
median-0.857328375
Q3-0.066700926
95-th percentile0.246644391
Maximum0.96766404
Range1.96766404
Interquartile range (IQR)0.9114612015

Descriptive statistics

Standard deviation0.4859416144
Coefficient of variation (CV)-0.9222523453
Kurtosis-1.451950346
Mean-0.5269074314
Median Absolute Deviation (MAD)0.13710175
Skewness0.4064544221
Sum-3873.823436
Variance0.2361392526
MonotonicityNot monotonic
2025-03-02T10:03:22.670538image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98318457 1
 
< 0.1%
-0.93142222 1
 
< 0.1%
-0.89902641 1
 
< 0.1%
-0.92336235 1
 
< 0.1%
-0.89595247 1
 
< 0.1%
-0.88318521 1
 
< 0.1%
-0.92657401 1
 
< 0.1%
-0.96840656 1
 
< 0.1%
-0.97149965 1
 
< 0.1%
-0.98453769 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99941912 1
< 0.1%
-0.99866006 1
< 0.1%
-0.99853952 1
< 0.1%
-0.99852413 1
< 0.1%
ValueCountFrequency (%)
0.96766404 1
< 0.1%
0.88819902 1
< 0.1%
0.86595642 1
< 0.1%
0.84569547 1
< 0.1%
0.72261666 1
< 0.1%

tBodyAcc-mad()-Z
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.606150485
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6691
Negative (%)91.0%
Memory size57.6 KiB
2025-03-02T10:03:22.716743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9931114085
Q1-0.9802510725
median-0.85714289
Q3-0.2656712
95-th percentile0.119552443
Maximum1
Range2
Interquartile range (IQR)0.7145798725

Descriptive statistics

Standard deviation0.4141217949
Coefficient of variation (CV)-0.6831996429
Kurtosis-0.7530207647
Mean-0.606150485
Median Absolute Deviation (MAD)0.137374245
Skewness0.6510277467
Sum-4456.418366
Variance0.171496861
MonotonicityNot monotonic
2025-03-02T10:03:22.762965image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98635085 2
 
< 0.1%
-0.68985531 1
 
< 0.1%
-0.84525429 1
 
< 0.1%
-0.81436268 1
 
< 0.1%
-0.88790687 1
 
< 0.1%
-0.91907896 1
 
< 0.1%
-0.93140531 1
 
< 0.1%
-0.96053037 1
 
< 0.1%
-0.97899321 1
 
< 0.1%
-0.95563475 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99996329 1
< 0.1%
-0.99987871 1
< 0.1%
-0.99980779 1
< 0.1%
-0.99975492 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90630302 1
< 0.1%
0.84236781 1
< 0.1%
0.80025154 1
< 0.1%
0.78648817 1
< 0.1%

tBodyAcc-max()-X
Real number (ℝ)

Distinct5219
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4686040119
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative5572
Negative (%)75.8%
Memory size57.6 KiB
2025-03-02T10:03:22.812231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.943064925
Q1-0.93621869
median-0.881637305
Q3-0.017128742
95-th percentile0.53099728
Maximum1
Range2
Interquartile range (IQR)0.919089948

Descriptive statistics

Standard deviation0.5445465778
Coefficient of variation (CV)-1.16206128
Kurtosis-1.130231366
Mean-0.4686040119
Median Absolute Deviation (MAD)0.062032
Skewness0.6304900476
Sum-3445.176695
Variance0.2965309754
MonotonicityNot monotonic
2025-03-02T10:03:22.862554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.93628077 4
 
0.1%
-0.930362 2
 
< 0.1%
-0.94202416 2
 
< 0.1%
0.25574314 2
 
< 0.1%
-0.92726248 2
 
< 0.1%
0.48971963 2
 
< 0.1%
0.37376765 2
 
< 0.1%
-0.90449731 2
 
< 0.1%
-0.9377589 2
 
< 0.1%
-0.94283299 2
 
< 0.1%
Other values (5209) 7330
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.974493 1
< 0.1%
-0.97134787 1
< 0.1%
-0.9550692 2
< 0.1%
-0.95320604 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.907994 2
< 0.1%
0.82121803 1
< 0.1%
0.80319182 1
< 0.1%
0.79918198 2
< 0.1%

tBodyAcc-max()-Y
Real number (ℝ)

Distinct5204
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3060431593
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6097
Negative (%)82.9%
Memory size57.6 KiB
2025-03-02T10:03:22.909496image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5740892515
Q1-0.5635610925
median-0.47967741
Q3-0.06536445525
95-th percentile0.1671421995
Maximum1
Range2
Interquartile range (IQR)0.4981966372

Descriptive statistics

Standard deviation0.2822430349
Coefficient of variation (CV)-0.9222327841
Kurtosis-0.8368711438
Mean-0.3060431593
Median Absolute Deviation (MAD)0.09555925
Skewness0.5891370701
Sum-2250.029307
Variance0.07966113073
MonotonicityNot monotonic
2025-03-02T10:03:22.955722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.55119068 4
 
0.1%
-0.56219499 2
 
< 0.1%
-0.50157828 2
 
< 0.1%
-0.063791939 2
 
< 0.1%
-0.04961614 2
 
< 0.1%
-0.16188095 2
 
< 0.1%
-0.55290509 2
 
< 0.1%
-0.094964813 2
 
< 0.1%
-0.19851939 2
 
< 0.1%
-0.21451908 2
 
< 0.1%
Other values (5194) 7330
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.8290431 2
< 0.1%
-0.74516334 1
< 0.1%
-0.71084403 1
< 0.1%
-0.62379504 1
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.80153114 2
< 0.1%
0.65976961 2
< 0.1%
0.64609252 2
< 0.1%
0.64361795 1
< 0.1%

tBodyAcc-max()-Z
Real number (ℝ)

Distinct5216
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5571206184
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7060
Negative (%)96.0%
Memory size57.6 KiB
2025-03-02T10:03:23.002315image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.823855938
Q1-0.81274385
median-0.73651557
Q3-0.33201356
95-th percentile-0.03522626785
Maximum1
Range2
Interquartile range (IQR)0.48073029

Descriptive statistics

Standard deviation0.2938670824
Coefficient of variation (CV)-0.5274747922
Kurtosis-0.09962572775
Mean-0.5571206184
Median Absolute Deviation (MAD)0.08863635
Skewness0.8362998045
Sum-4095.950786
Variance0.08635786213
MonotonicityNot monotonic
2025-03-02T10:03:23.049795image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.81804007 3
 
< 0.1%
-0.1711648 2
 
< 0.1%
-0.24399796 2
 
< 0.1%
-0.33776095 2
 
< 0.1%
-0.68669744 2
 
< 0.1%
-0.24951294 2
 
< 0.1%
-0.24339558 2
 
< 0.1%
-0.17687675 2
 
< 0.1%
-0.3216828 2
 
< 0.1%
-0.81690331 2
 
< 0.1%
Other values (5206) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.98357846 1
< 0.1%
-0.97779315 1
< 0.1%
-0.96881935 1
< 0.1%
-0.94522759 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86121489 2
< 0.1%
0.6511427 2
< 0.1%
0.53208934 2
< 0.1%
0.52542611 2
< 0.1%

tBodyAcc-min()-X
Real number (ℝ)

Distinct5207
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5235507363
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative682
Negative (%)9.3%
Memory size57.6 KiB
2025-03-02T10:03:23.102217image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.096943423
Q10.19705138
median0.792060065
Q30.84442022
95-th percentile0.85118314
Maximum1
Range2
Interquartile range (IQR)0.64736884

Descriptive statistics

Standard deviation0.363593695
Coefficient of variation (CV)0.6944765231
Kurtosis-0.9874828536
Mean0.5235507363
Median Absolute Deviation (MAD)0.0598078
Skewness-0.6050724341
Sum3849.145013
Variance0.1322003751
MonotonicityNot monotonic
2025-03-02T10:03:23.149552image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.84666536 3
 
< 0.1%
0.84183915 2
 
< 0.1%
-0.51940234 2
 
< 0.1%
0.78423289 2
 
< 0.1%
0.80379114 2
 
< 0.1%
0.80085726 2
 
< 0.1%
0.80603105 2
 
< 0.1%
0.79823937 2
 
< 0.1%
0.82490891 2
 
< 0.1%
0.77416313 2
 
< 0.1%
Other values (5197) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9348269 1
< 0.1%
-0.8744041 2
< 0.1%
-0.70218484 1
< 0.1%
-0.6795534 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90592519 1
< 0.1%
0.89211887 1
< 0.1%
0.88719695 1
< 0.1%
0.86628075 1
< 0.1%

tBodyAcc-min()-Y
Real number (ℝ)

Distinct5243
Distinct (%)71.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3873855109
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1192
Negative (%)16.2%
Memory size57.6 KiB
2025-03-02T10:03:23.195982image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.21526125
Q10.101828605
median0.627736525
Q30.68562191
95-th percentile0.69350555
Maximum1
Range2
Interquartile range (IQR)0.583793305

Descriptive statistics

Standard deviation0.3436106886
Coefficient of variation (CV)0.88699933
Kurtosis-0.6068128836
Mean0.3873855109
Median Absolute Deviation (MAD)0.066484325
Skewness-0.7258031047
Sum2848.058276
Variance0.1180683053
MonotonicityNot monotonic
2025-03-02T10:03:23.317605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.68584458 2
 
< 0.1%
0.6789897 2
 
< 0.1%
0.67491732 2
 
< 0.1%
0.66089019 2
 
< 0.1%
0.67156049 2
 
< 0.1%
0.68302225 2
 
< 0.1%
0.68126721 2
 
< 0.1%
0.6810465 2
 
< 0.1%
0.66143879 2
 
< 0.1%
0.69029927 2
 
< 0.1%
Other values (5233) 7332
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.97293417 1
< 0.1%
-0.90603829 2
< 0.1%
-0.77100742 2
< 0.1%
-0.76084963 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87753953 1
< 0.1%
0.87564986 1
< 0.1%
0.86370528 1
< 0.1%
0.84526226 2
< 0.1%

tBodyAcc-min()-Z
Real number (ℝ)

Distinct5160
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.594374304
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative342
Negative (%)4.7%
Memory size57.6 KiB
2025-03-02T10:03:23.364658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.01410420825
Q10.3897867625
median0.77805941
Q30.83732268
95-th percentile0.846065828
Maximum1
Range2
Interquartile range (IQR)0.4475359175

Descriptive statistics

Standard deviation0.297817552
Coefficient of variation (CV)0.5010606112
Kurtosis0.9837729703
Mean0.594374304
Median Absolute Deviation (MAD)0.0691798
Skewness-1.157981302
Sum4369.839883
Variance0.08869529429
MonotonicityNot monotonic
2025-03-02T10:03:23.410991image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8260138 2
 
< 0.1%
0.84330691 2
 
< 0.1%
0.82896044 2
 
< 0.1%
0.84195389 2
 
< 0.1%
0.82933888 2
 
< 0.1%
0.82520695 2
 
< 0.1%
0.82382825 2
 
< 0.1%
0.8261067 2
 
< 0.1%
0.80611378 2
 
< 0.1%
0.84363863 2
 
< 0.1%
Other values (5150) 7332
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.77936183 2
< 0.1%
-0.77716057 2
< 0.1%
-0.76514066 2
< 0.1%
-0.75032068 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97235932 1
< 0.1%
0.95404679 1
< 0.1%
0.92549697 1
< 0.1%
0.86812087 1
< 0.1%

tBodyAcc-sma()
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5475688883
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6169
Negative (%)83.9%
Memory size57.6 KiB
2025-03-02T10:03:23.457802image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9953283575
Q1-0.9829921875
median-0.885460945
Q3-0.107427995
95-th percentile0.1986984615
Maximum1
Range2
Interquartile range (IQR)0.8755641925

Descriptive statistics

Standard deviation0.4718080802
Coefficient of variation (CV)-0.8616415036
Kurtosis-1.433821933
Mean-0.5475688883
Median Absolute Deviation (MAD)0.110912805
Skewness0.4106086579
Sum-4025.726467
Variance0.2226028646
MonotonicityNot monotonic
2025-03-02T10:03:23.505243image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98757117 2
 
< 0.1%
-0.96552279 1
 
< 0.1%
-0.90225548 1
 
< 0.1%
-0.91814186 1
 
< 0.1%
-0.90368704 1
 
< 0.1%
-0.92952911 1
 
< 0.1%
-0.93850598 1
 
< 0.1%
-0.93568747 1
 
< 0.1%
-0.94736971 1
 
< 0.1%
-0.96265722 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99915623 1
< 0.1%
-0.99911072 1
< 0.1%
-0.9991085 1
< 0.1%
-0.99909274 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94163403 1
< 0.1%
0.92208308 1
< 0.1%
0.85267656 1
< 0.1%
0.8332508 1
< 0.1%

tBodyAcc-energy()-X
Real number (ℝ)

Distinct7054
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8200409311
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7255
Negative (%)98.7%
Memory size57.6 KiB
2025-03-02T10:03:23.551893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999860245
Q1-0.999936035
median-0.99804623
Q3-0.7107074675
95-th percentile-0.2707918765
Maximum1
Range2
Interquartile range (IQR)0.2892285675

Descriptive statistics

Standard deviation0.2596074701
Coefficient of variation (CV)-0.3165786734
Kurtosis3.580852301
Mean-0.8200409311
Median Absolute Deviation (MAD)0.00194473
Skewness1.770563495
Sum-6028.940925
Variance0.06739603854
MonotonicityNot monotonic
2025-03-02T10:03:23.597810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9999823 4
 
0.1%
-0.99997825 4
 
0.1%
-0.99996802 4
 
0.1%
-0.9999436 3
 
< 0.1%
-0.99998539 3
 
< 0.1%
-0.99999173 3
 
< 0.1%
-0.99998312 3
 
< 0.1%
-0.999972 3
 
< 0.1%
-0.99994952 3
 
< 0.1%
-0.99998122 3
 
< 0.1%
Other values (7044) 7319
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999924 1
< 0.1%
-0.99999919 1
< 0.1%
-0.99999913 1
< 0.1%
-0.99999867 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.80089302 1
< 0.1%
0.76124071 1
< 0.1%
0.71868732 1
< 0.1%
0.68595676 1
< 0.1%

tBodyAcc-energy()-Y
Real number (ℝ)

Distinct7239
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9018735227
Minimum-0.9999986
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:23.644372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9999986
5-th percentile-0.999963147
Q1-0.9997860925
median-0.99406503
Q3-0.8167033375
95-th percentile-0.671960439
Maximum1
Range1.9999986
Interquartile range (IQR)0.183082755

Descriptive statistics

Standard deviation0.1263331632
Coefficient of variation (CV)-0.1400785809
Kurtosis13.88766677
Mean-0.9018735227
Median Absolute Deviation (MAD)0.005912575
Skewness2.005384828
Sum-6630.574139
Variance0.01596006813
MonotonicityNot monotonic
2025-03-02T10:03:23.690799image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99993555 3
 
< 0.1%
-0.99997664 3
 
< 0.1%
-0.99995179 2
 
< 0.1%
-0.99991563 2
 
< 0.1%
-0.9998888 2
 
< 0.1%
-0.99994709 2
 
< 0.1%
-0.9999648 2
 
< 0.1%
-0.99995754 2
 
< 0.1%
-0.99995509 2
 
< 0.1%
-0.99995226 2
 
< 0.1%
Other values (7229) 7330
99.7%
ValueCountFrequency (%)
-0.9999986 1
< 0.1%
-0.99999671 1
< 0.1%
-0.99999383 1
< 0.1%
-0.99999368 1
< 0.1%
-0.99999322 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.81985503 1
< 0.1%
0.1394363 1
< 0.1%
0.13668373 1
< 0.1%
0.0043662326 1
< 0.1%

tBodyAcc-energy()-Z
Real number (ℝ)

Distinct7317
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8457839323
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7284
Negative (%)99.1%
Memory size57.6 KiB
2025-03-02T10:03:23.736837image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999871796
Q1-0.9994603025
median-0.98554563
Q3-0.74801797
95-th percentile-0.420467479
Maximum1
Range2
Interquartile range (IQR)0.2514423325

Descriptive statistics

Standard deviation0.221982631
Coefficient of variation (CV)-0.2624578484
Kurtosis7.436907331
Mean-0.8457839323
Median Absolute Deviation (MAD)0.014376685
Skewness2.226164003
Sum-6218.20347
Variance0.04927628848
MonotonicityNot monotonic
2025-03-02T10:03:23.782640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9999243 2
 
< 0.1%
-0.99973154 2
 
< 0.1%
-0.99920043 2
 
< 0.1%
-0.99992698 2
 
< 0.1%
-0.993678 2
 
< 0.1%
-0.9998144 2
 
< 0.1%
-0.99986362 2
 
< 0.1%
-0.99966489 2
 
< 0.1%
-0.99970298 2
 
< 0.1%
-0.99953216 2
 
< 0.1%
Other values (7307) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999906 1
< 0.1%
-0.99999495 1
< 0.1%
-0.99999421 1
< 0.1%
-0.99998669 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.84170823 1
< 0.1%
0.83872872 1
< 0.1%
0.76976385 1
< 0.1%
0.64547711 1
< 0.1%

tBodyAcc-iqr()-X
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6843449216
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6979
Negative (%)94.9%
Memory size57.6 KiB
2025-03-02T10:03:23.829042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997707802
Q1-0.994386645
median-0.95785936
Q3-0.3932197625
95-th percentile0.002302898495
Maximum1
Range2
Interquartile range (IQR)0.6011668825

Descriptive statistics

Standard deviation0.3716078383
Coefficient of variation (CV)-0.5430124877
Kurtosis-0.02001554883
Mean-0.6843449216
Median Absolute Deviation (MAD)0.040151675
Skewness0.9050939584
Sum-5031.303863
Variance0.1380923855
MonotonicityNot monotonic
2025-03-02T10:03:23.876583image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99740089 2
 
< 0.1%
-0.99653889 2
 
< 0.1%
-0.99573809 2
 
< 0.1%
-0.99423081 1
 
< 0.1%
-0.99434664 1
 
< 0.1%
-0.989299 1
 
< 0.1%
-0.98726386 1
 
< 0.1%
-0.99336111 1
 
< 0.1%
-0.9949542 1
 
< 0.1%
-0.98891363 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99967518 1
< 0.1%
-0.99963316 1
< 0.1%
-0.99952734 1
< 0.1%
-0.99946184 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95615797 1
< 0.1%
0.93736946 1
< 0.1%
0.80456414 1
< 0.1%
0.77921709 1
< 0.1%

tBodyAcc-iqr()-Y
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6437696255
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7037
Negative (%)95.7%
Memory size57.6 KiB
2025-03-02T10:03:23.922400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9934385655
Q1-0.9821585225
median-0.896093265
Q3-0.310548375
95-th percentile-0.0211136758
Maximum1
Range2
Interquartile range (IQR)0.6716101475

Descriptive statistics

Standard deviation0.3715814194
Coefficient of variation (CV)-0.5771962589
Kurtosis-1.153572803
Mean-0.6437696255
Median Absolute Deviation (MAD)0.09842506
Skewness0.5237111278
Sum-4732.994287
Variance0.1380727513
MonotonicityNot monotonic
2025-03-02T10:03:23.969611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98976042 2
 
< 0.1%
-0.49931018 2
 
< 0.1%
-0.013295575 2
 
< 0.1%
-0.98878489 2
 
< 0.1%
-0.98579261 1
 
< 0.1%
-0.942816 1
 
< 0.1%
-0.93028647 1
 
< 0.1%
-0.90874809 1
 
< 0.1%
-0.92931881 1
 
< 0.1%
-0.92704898 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99972135 1
< 0.1%
-0.9990138 1
< 0.1%
-0.99862253 1
< 0.1%
-0.99857831 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.70132596 1
< 0.1%
0.57199133 1
< 0.1%
0.50904276 1
< 0.1%
0.47850693 1
< 0.1%

tBodyAcc-iqr()-Z
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6310686323
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6866
Negative (%)93.4%
Memory size57.6 KiB
2025-03-02T10:03:24.017176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.992827667
Q1-0.979623195
median-0.86451505
Q3-0.3160370325
95-th percentile0.05179971375
Maximum1
Range2
Interquartile range (IQR)0.6635861625

Descriptive statistics

Standard deviation0.3865687039
Coefficient of variation (CV)-0.612562064
Kurtosis-0.7485002565
Mean-0.6310686323
Median Absolute Deviation (MAD)0.129783365
Skewness0.655980199
Sum-4639.616584
Variance0.1494353629
MonotonicityNot monotonic
2025-03-02T10:03:24.064421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98621709 2
 
< 0.1%
-0.98009524 2
 
< 0.1%
-0.99124952 2
 
< 0.1%
-0.97358555 2
 
< 0.1%
-0.96637367 2
 
< 0.1%
-0.94321999 1
 
< 0.1%
-0.94922223 1
 
< 0.1%
-0.98328231 1
 
< 0.1%
-0.96561886 1
 
< 0.1%
-0.9188664 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99994713 1
< 0.1%
-0.99994019 1
< 0.1%
-0.99978049 1
< 0.1%
-0.99977453 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89890012 1
< 0.1%
0.86673269 1
< 0.1%
0.80604688 1
< 0.1%
0.7716882 1
< 0.1%

tBodyAcc-entropy()-X
Real number (ℝ)

Distinct3860
Distinct (%)52.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.102992559
Minimum-1
Maximum0.91966171
Zeros0
Zeros (%)0.0%
Negative3812
Negative (%)51.8%
Memory size57.6 KiB
2025-03-02T10:03:24.111119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7520776145
Q1-0.5734408175
median-0.0733689755
Q30.33650358
95-th percentile0.54364276
Maximum0.91966171
Range1.91966171
Interquartile range (IQR)0.9099443975

Descriptive statistics

Standard deviation0.4689586155
Coefficient of variation (CV)-4.553325214
Kurtosis-1.505063779
Mean-0.102992559
Median Absolute Deviation (MAD)0.4469114145
Skewness-0.04014516547
Sum-757.2012934
Variance0.2199221831
MonotonicityNot monotonic
2025-03-02T10:03:24.159338image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.76858336 31
 
0.4%
-0.72891185 30
 
0.4%
-0.77740301 28
 
0.4%
-0.75186908 27
 
0.4%
-0.71489166 26
 
0.4%
-0.74394659 26
 
0.4%
-0.73629771 26
 
0.4%
-0.68386757 25
 
0.3%
-0.70824068 23
 
0.3%
-0.7177413 22
 
0.3%
Other values (3850) 7088
96.4%
ValueCountFrequency (%)
-1 12
0.2%
-0.97300716 4
 
0.1%
-0.95244931 4
 
0.1%
-0.94605066 2
 
< 0.1%
-0.93434322 5
0.1%
ValueCountFrequency (%)
0.91966171 1
< 0.1%
0.91239703 1
< 0.1%
0.90111862 1
< 0.1%
0.89944283 1
< 0.1%
0.88964355 1
< 0.1%

tBodyAcc-entropy()-Y
Real number (ℝ)

Distinct5848
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1379372863
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3888
Negative (%)52.9%
Memory size57.6 KiB
2025-03-02T10:03:24.205088image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.76254234
Q1-0.55958397
median-0.136792775
Q30.28016993
95-th percentile0.4334266075
Maximum1
Range2
Interquartile range (IQR)0.8397539

Descriptive statistics

Standard deviation0.4372682073
Coefficient of variation (CV)-3.170050818
Kurtosis-1.518152787
Mean-0.1379372863
Median Absolute Deviation (MAD)0.418493645
Skewness-0.08436696688
Sum-1014.114929
Variance0.1912034851
MonotonicityNot monotonic
2025-03-02T10:03:24.252148image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 17
 
0.2%
-0.74767485 13
 
0.2%
-0.73179047 11
 
0.1%
-0.78410799 10
 
0.1%
-0.77437048 10
 
0.1%
-0.75315631 10
 
0.1%
-0.71160738 10
 
0.1%
-0.79234748 10
 
0.1%
-0.78614445 9
 
0.1%
-0.7026066 9
 
0.1%
Other values (5838) 7243
98.5%
ValueCountFrequency (%)
-1 17
0.2%
-0.97810952 3
 
< 0.1%
-0.96143765 4
 
0.1%
-0.95624852 2
 
< 0.1%
-0.94675409 3
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98729545 1
< 0.1%
0.93830851 1
< 0.1%
0.87180267 1
< 0.1%
0.85351043 1
< 0.1%

tBodyAcc-entropy()-Z
Real number (ℝ)

Distinct6462
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1639455943
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4320
Negative (%)58.8%
Memory size57.6 KiB
2025-03-02T10:03:24.299040image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.696437318
Q1-0.5055117875
median-0.14888868
Q30.1641228475
95-th percentile0.3807797695
Maximum1
Range2
Interquartile range (IQR)0.669634635

Descriptive statistics

Standard deviation0.3713626498
Coefficient of variation (CV)-2.265157849
Kurtosis-1.204320225
Mean-0.1639455943
Median Absolute Deviation (MAD)0.334093645
Skewness-0.002405146252
Sum-1205.328009
Variance0.1379102176
MonotonicityNot monotonic
2025-03-02T10:03:24.345678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 23
 
0.3%
-0.69031738 6
 
0.1%
-0.036501166 6
 
0.1%
-0.93357616 5
 
0.1%
0.067330118 5
 
0.1%
0.04302364 4
 
0.1%
0.10172614 4
 
0.1%
-0.65442377 4
 
0.1%
-0.55597233 4
 
0.1%
-0.76846269 4
 
0.1%
Other values (6452) 7287
99.1%
ValueCountFrequency (%)
-1 23
0.3%
-0.97817646 4
 
0.1%
-0.96155558 2
 
< 0.1%
-0.94691692 2
 
< 0.1%
-0.93979104 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95365751 1
< 0.1%
0.95054509 1
< 0.1%
0.91338934 1
< 0.1%
0.80022066 1
< 0.1%

tBodyAcc-arCoeff()-X,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1165986481
Minimum-0.92589735
Maximum1
Zeros0
Zeros (%)0.0%
Negative4529
Negative (%)61.6%
Memory size57.6 KiB
2025-03-02T10:03:24.392068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.92589735
5-th percentile-0.586009798
Q1-0.3649256175
median-0.12939257
Q30.1326567825
95-th percentile0.3718430355
Maximum1
Range1.92589735
Interquartile range (IQR)0.4975824

Descriptive statistics

Standard deviation0.3065071308
Coefficient of variation (CV)-2.628736574
Kurtosis-0.8319128219
Mean-0.1165986481
Median Absolute Deviation (MAD)0.24961601
Skewness0.08120240409
Sum-857.2332609
Variance0.09394662122
MonotonicityNot monotonic
2025-03-02T10:03:24.524175image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.92929351 1
 
< 0.1%
-0.19151293 1
 
< 0.1%
-0.22883703 1
 
< 0.1%
0.27011305 1
 
< 0.1%
0.40290247 1
 
< 0.1%
-0.007384794 1
 
< 0.1%
0.050800492 1
 
< 0.1%
-0.11460463 1
 
< 0.1%
0.12438321 1
 
< 0.1%
0.16570633 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.92589735 1
< 0.1%
-0.89810192 1
< 0.1%
-0.896899 1
< 0.1%
-0.88694821 1
< 0.1%
-0.87740622 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92929351 1
< 0.1%
0.89876721 1
< 0.1%
0.83361243 1
< 0.1%
0.81893016 1
< 0.1%

tBodyAcc-arCoeff()-X,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1027619535
Minimum-0.9630993
Maximum0.97844881
Zeros0
Zeros (%)0.0%
Negative2865
Negative (%)39.0%
Memory size57.6 KiB
2025-03-02T10:03:24.571475image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9630993
5-th percentile-0.244560266
Q1-0.08254384025
median0.0700729385
Q30.276871865
95-th percentile0.5411864235
Maximum0.97844881
Range1.94154811
Interquartile range (IQR)0.3594157053

Descriptive statistics

Standard deviation0.2465931218
Coefficient of variation (CV)2.399653892
Kurtosis-0.1465133899
Mean0.1027619535
Median Absolute Deviation (MAD)0.1731547065
Skewness0.3636121528
Sum755.5058823
Variance0.0608081677
MonotonicityNot monotonic
2025-03-02T10:03:24.618171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.85301114 1
 
< 0.1%
0.18208795 1
 
< 0.1%
0.25179915 1
 
< 0.1%
-0.19304885 1
 
< 0.1%
-0.29714155 1
 
< 0.1%
-0.0029555275 1
 
< 0.1%
-0.061094535 1
 
< 0.1%
0.12679793 1
 
< 0.1%
-0.237978 1
 
< 0.1%
-0.30678253 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.9630993 1
< 0.1%
-0.92574827 1
< 0.1%
-0.87914548 1
< 0.1%
-0.85301114 1
< 0.1%
-0.69394985 1
< 0.1%
ValueCountFrequency (%)
0.97844881 1
< 0.1%
0.91919095 1
< 0.1%
0.91667885 1
< 0.1%
0.91406221 1
< 0.1%
0.90868109 1
< 0.1%

tBodyAcc-arCoeff()-X,3
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03778550247
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3929
Negative (%)53.4%
Memory size57.6 KiB
2025-03-02T10:03:24.665071image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4658188025
Q1-0.190581075
median-0.019000881
Q30.128634945
95-th percentile0.330108329
Maximum1
Range2
Interquartile range (IQR)0.31921602

Descriptive statistics

Standard deviation0.2436345499
Coefficient of variation (CV)-6.447831415
Kurtosis0.3142139768
Mean-0.03778550247
Median Absolute Deviation (MAD)0.158478649
Skewness-0.2624072411
Sum-277.7990142
Variance0.05935779389
MonotonicityNot monotonic
2025-03-02T10:03:24.712671image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.35029024 2
 
< 0.1%
0.35990976 1
 
< 0.1%
0.12074574 1
 
< 0.1%
0.11338137 1
 
< 0.1%
0.099268193 1
 
< 0.1%
-0.020598771 1
 
< 0.1%
0.069745272 1
 
< 0.1%
-0.14577301 1
 
< 0.1%
0.17545845 1
 
< 0.1%
0.49645571 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.98057777 1
< 0.1%
-0.89552081 1
< 0.1%
-0.87085542 1
< 0.1%
-0.86264419 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97687005 1
< 0.1%
0.95667059 1
< 0.1%
0.88042123 1
< 0.1%
0.87349209 1
< 0.1%

tBodyAcc-arCoeff()-X,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1304768697
Minimum-0.82205333
Maximum1
Zeros0
Zeros (%)0.0%
Negative2069
Negative (%)28.1%
Memory size57.6 KiB
2025-03-02T10:03:24.758172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.82205333
5-th percentile-0.2490590455
Q1-0.02385656675
median0.134148595
Q30.285317855
95-th percentile0.4976922905
Maximum1
Range1.82205333
Interquartile range (IQR)0.3091744217

Descriptive statistics

Standard deviation0.2300669627
Coefficient of variation (CV)1.763277761
Kurtosis0.1508346814
Mean0.1304768697
Median Absolute Deviation (MAD)0.1541299995
Skewness-0.1138199508
Sum959.2659462
Variance0.05293080731
MonotonicityNot monotonic
2025-03-02T10:03:24.801816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.058526382 1
 
< 0.1%
-0.053829448 1
 
< 0.1%
-0.21184774 1
 
< 0.1%
-0.094232289 1
 
< 0.1%
0.13305793 1
 
< 0.1%
0.062257967 1
 
< 0.1%
-0.10953266 1
 
< 0.1%
-0.038367341 1
 
< 0.1%
-0.025621419 1
 
< 0.1%
-0.17985593 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.82205333 1
< 0.1%
-0.78027287 1
< 0.1%
-0.70720597 1
< 0.1%
-0.706457 1
< 0.1%
-0.69803324 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98604484 1
< 0.1%
0.96798194 1
< 0.1%
0.9651826 1
< 0.1%
0.90851749 1
< 0.1%

tBodyAcc-arCoeff()-Y,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02622921374
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4021
Negative (%)54.7%
Memory size57.6 KiB
2025-03-02T10:03:24.846841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.426013989
Q1-0.221943035
median-0.0407103875
Q30.172344285
95-th percentile0.3934033935
Maximum1
Range2
Interquartile range (IQR)0.39428732

Descriptive statistics

Standard deviation0.2573832185
Coefficient of variation (CV)-9.812845365
Kurtosis-0.5872280277
Mean-0.02622921374
Median Absolute Deviation (MAD)0.1975738875
Skewness0.09829677209
Sum-192.8371795
Variance0.06624612118
MonotonicityNot monotonic
2025-03-02T10:03:24.892732image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.25689154 1
 
< 0.1%
-0.10911599 1
 
< 0.1%
-0.14477633 1
 
< 0.1%
0.11942198 1
 
< 0.1%
0.051340444 1
 
< 0.1%
-0.17406822 1
 
< 0.1%
-0.21569377 1
 
< 0.1%
-0.0090226157 1
 
< 0.1%
0.20927317 1
 
< 0.1%
0.33153557 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.77220781 1
< 0.1%
-0.7483232 1
< 0.1%
-0.73733159 1
< 0.1%
-0.73239637 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96646571 1
< 0.1%
0.7848612 1
< 0.1%
0.67814574 1
< 0.1%
0.64738279 1
< 0.1%

tBodyAcc-arCoeff()-Y,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02632185498
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3533
Negative (%)48.1%
Memory size57.6 KiB
2025-03-02T10:03:24.938607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2909112165
Q1-0.1354331725
median0.011747977
Q30.17783233
95-th percentile0.39103711
Maximum1
Range2
Interquartile range (IQR)0.3132655025

Descriptive statistics

Standard deviation0.2150013602
Coefficient of variation (CV)8.168169014
Kurtosis-0.1481444336
Mean0.02632185498
Median Absolute Deviation (MAD)0.155903775
Skewness0.2699733169
Sum193.5182778
Variance0.0462255849
MonotonicityNot monotonic
2025-03-02T10:03:24.985439image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.22484763 1
 
< 0.1%
-0.0063184366 1
 
< 0.1%
0.018902909 1
 
< 0.1%
-0.28289736 1
 
< 0.1%
-0.3156072 1
 
< 0.1%
0.015796569 1
 
< 0.1%
0.14251082 1
 
< 0.1%
1.5987906 × 10-51
 
< 0.1%
-0.16990291 1
 
< 0.1%
-0.27113424 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.7962952 1
< 0.1%
-0.73178097 1
< 0.1%
-0.66881887 1
< 0.1%
-0.65395368 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87278095 1
< 0.1%
0.78437025 1
< 0.1%
0.74578313 1
< 0.1%
0.74241653 1
< 0.1%

tBodyAcc-arCoeff()-Y,3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1599655378
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1496
Negative (%)20.3%
Memory size57.6 KiB
2025-03-02T10:03:25.031960image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.192872755
Q10.0344299015
median0.168444095
Q30.293409765
95-th percentile0.494352127
Maximum1
Range2
Interquartile range (IQR)0.2589798635

Descriptive statistics

Standard deviation0.2088365327
Coefficient of variation (CV)1.305509521
Kurtosis0.66650009
Mean0.1599655378
Median Absolute Deviation (MAD)0.129766394
Skewness-0.1904148995
Sum1176.066634
Variance0.04361269738
MonotonicityNot monotonic
2025-03-02T10:03:25.079134image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.26410572 1
 
< 0.1%
0.20916542 1
 
< 0.1%
0.024832455 1
 
< 0.1%
0.51969567 1
 
< 0.1%
0.54560964 1
 
< 0.1%
0.014846091 1
 
< 0.1%
-0.026710749 1
 
< 0.1%
0.18256137 1
 
< 0.1%
0.16868613 1
 
< 0.1%
0.34224624 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.79768281 1
< 0.1%
-0.7139386 1
< 0.1%
-0.69545637 1
< 0.1%
-0.65205972 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98063436 1
< 0.1%
0.97415126 1
< 0.1%
0.94462778 1
< 0.1%
0.92719982 1
< 0.1%

tBodyAcc-arCoeff()-Y,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01957488665
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3943
Negative (%)53.6%
Memory size57.6 KiB
2025-03-02T10:03:25.126654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.380306761
Q1-0.1688413175
median-0.022447589
Q30.130862155
95-th percentile0.339569676
Maximum1
Range2
Interquartile range (IQR)0.2997034725

Descriptive statistics

Standard deviation0.2214320216
Coefficient of variation (CV)-11.31204617
Kurtosis0.1947036345
Mean-0.01957488665
Median Absolute Deviation (MAD)0.15007164
Skewness-0.01360148042
Sum-143.9145666
Variance0.04903214018
MonotonicityNot monotonic
2025-03-02T10:03:25.173770image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.09524563 1
 
< 0.1%
-0.092712003 1
 
< 0.1%
0.2423684 1
 
< 0.1%
-0.19237105 1
 
< 0.1%
0.014160582 1
 
< 0.1%
0.41679205 1
 
< 0.1%
0.16874363 1
 
< 0.1%
-0.065729582 1
 
< 0.1%
0.020770679 1
 
< 0.1%
-0.0076615641 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.92243674 1
< 0.1%
-0.88588163 1
< 0.1%
-0.80672536 1
< 0.1%
-0.78500473 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.88874447 1
< 0.1%
0.86596477 1
< 0.1%
0.83921338 1
< 0.1%
0.80825199 1
< 0.1%

tBodyAcc-arCoeff()-Z,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.009419566724
Minimum-1
Maximum0.81462304
Zeros0
Zeros (%)0.0%
Negative3435
Negative (%)46.7%
Memory size57.6 KiB
2025-03-02T10:03:25.219791image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.473912117
Q1-0.20729567
median0.029043759
Q30.2309833475
95-th percentile0.443964531
Maximum0.81462304
Range1.81462304
Interquartile range (IQR)0.4382790175

Descriptive statistics

Standard deviation0.2860814477
Coefficient of variation (CV)30.37097736
Kurtosis-0.6289792594
Mean0.009419566724
Median Absolute Deviation (MAD)0.217301411
Skewness-0.1729067574
Sum69.25265456
Variance0.08184259473
MonotonicityNot monotonic
2025-03-02T10:03:25.265365image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.27885143 1
 
< 0.1%
-0.20983649 1
 
< 0.1%
-0.4482259 1
 
< 0.1%
-0.044501773 1
 
< 0.1%
0.11832292 1
 
< 0.1%
-0.17467913 1
 
< 0.1%
-0.14214982 1
 
< 0.1%
-0.067296916 1
 
< 0.1%
0.07558919 1
 
< 0.1%
0.10683841 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.80950184 1
< 0.1%
-0.80401247 1
< 0.1%
-0.80176222 1
< 0.1%
-0.79837015 1
< 0.1%
ValueCountFrequency (%)
0.81462304 1
< 0.1%
0.80918852 1
< 0.1%
0.76070428 1
< 0.1%
0.74552642 1
< 0.1%
0.73930895 1
< 0.1%

tBodyAcc-arCoeff()-Z,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0332905745
Minimum-0.75375375
Maximum1
Zeros0
Zeros (%)0.0%
Negative3624
Negative (%)49.3%
Memory size57.6 KiB
2025-03-02T10:03:25.309172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.75375375
5-th percentile-0.276291808
Q1-0.1235142575
median0.00326577075
Q30.17560244
95-th percentile0.426656282
Maximum1
Range1.75375375
Interquartile range (IQR)0.2991166975

Descriptive statistics

Standard deviation0.216288516
Coefficient of variation (CV)6.496989591
Kurtosis-0.04442359582
Mean0.0332905745
Median Absolute Deviation (MAD)0.14557702
Skewness0.4632879157
Sum244.7523037
Variance0.04678072216
MonotonicityNot monotonic
2025-03-02T10:03:25.353644image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.46508457 1
 
< 0.1%
0.1007629 1
 
< 0.1%
0.33493332 1
 
< 0.1%
-0.098652058 1
 
< 0.1%
-0.22626431 1
 
< 0.1%
0.055761874 1
 
< 0.1%
0.048298304 1
 
< 0.1%
0.061666731 1
 
< 0.1%
-0.022875994 1
 
< 0.1%
-0.0006741867 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.75375375 1
< 0.1%
-0.59036787 1
< 0.1%
-0.56418562 1
< 0.1%
-0.5449354 1
< 0.1%
-0.52112519 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86602457 1
< 0.1%
0.80862884 1
< 0.1%
0.7789785 1
< 0.1%
0.73916375 1
< 0.1%

tBodyAcc-arCoeff()-Z,3
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03658657706
Minimum-1
Maximum0.99720675
Zeros0
Zeros (%)0.0%
Negative3041
Negative (%)41.4%
Memory size57.6 KiB
2025-03-02T10:03:25.399023image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.379571838
Q1-0.1065421675
median0.0494318595
Q30.1955564875
95-th percentile0.3976376635
Maximum0.99720675
Range1.99720675
Interquartile range (IQR)0.302098655

Descriptive statistics

Standard deviation0.2362258995
Coefficient of variation (CV)6.456627497
Kurtosis0.3600613379
Mean0.03658657706
Median Absolute Deviation (MAD)0.1512482645
Skewness-0.3245341692
Sum268.9845145
Variance0.05580267557
MonotonicityNot monotonic
2025-03-02T10:03:25.445412image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.16565637 2
 
< 0.1%
-0.094844547 1
 
< 0.1%
-0.19225179 1
 
< 0.1%
0.28975284 1
 
< 0.1%
0.36634228 1
 
< 0.1%
0.078773721 1
 
< 0.1%
0.24058091 1
 
< 0.1%
0.094747397 1
 
< 0.1%
-0.0013154872 1
 
< 0.1%
0.15899689 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.96188168 1
< 0.1%
-0.95608258 1
< 0.1%
-0.84844667 1
< 0.1%
-0.83703973 1
< 0.1%
ValueCountFrequency (%)
0.99720675 1
< 0.1%
0.94640524 1
< 0.1%
0.90769312 1
< 0.1%
0.817526 1
< 0.1%
0.78061109 1
< 0.1%

tBodyAcc-arCoeff()-Z,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07864014548
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4672
Negative (%)63.5%
Memory size57.6 KiB
2025-03-02T10:03:25.491553image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.453828097
Q1-0.2388767175
median-0.081940368
Q30.07922947025
95-th percentile0.307242939
Maximum1
Range2
Interquartile range (IQR)0.3181061877

Descriptive statistics

Standard deviation0.2327566796
Coefficient of variation (CV)-2.959769188
Kurtosis0.05677485346
Mean-0.07864014548
Median Absolute Deviation (MAD)0.1593444225
Skewness0.06659409887
Sum-578.1623496
Variance0.05417567188
MonotonicityNot monotonic
2025-03-02T10:03:25.538931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.19088356 1
 
< 0.1%
0.057881215 1
 
< 0.1%
-0.058544901 1
 
< 0.1%
-0.11402448 1
 
< 0.1%
-0.0025139343 1
 
< 0.1%
-0.11347879 1
 
< 0.1%
-0.43626856 1
 
< 0.1%
-0.35840701 1
 
< 0.1%
-0.1927639 1
 
< 0.1%
-0.2516735 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.93620242 1
< 0.1%
-0.92829616 1
< 0.1%
-0.91944643 1
< 0.1%
-0.91503975 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.91838167 1
< 0.1%
0.78840573 1
< 0.1%
0.67230598 1
< 0.1%
0.6722141 1
< 0.1%

tBodyAcc-correlation()-X,Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1251305848
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative5068
Negative (%)68.9%
Memory size57.6 KiB
2025-03-02T10:03:25.587763image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6553915865
Q1-0.373937335
median-0.16372775
Q30.070817978
95-th percentile0.588448412
Maximum1
Range2
Interquartile range (IQR)0.444755313

Descriptive statistics

Standard deviation0.3631547641
Coefficient of variation (CV)-2.90220624
Kurtosis0.3606062988
Mean-0.1251305848
Median Absolute Deviation (MAD)0.2212379025
Skewness0.5825193791
Sum-919.9600598
Variance0.1318813827
MonotonicityNot monotonic
2025-03-02T10:03:25.713426image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.37631389 1
 
< 0.1%
0.4243163 1
 
< 0.1%
0.57121729 1
 
< 0.1%
0.16975836 1
 
< 0.1%
0.30891164 1
 
< 0.1%
0.57433048 1
 
< 0.1%
0.35610177 1
 
< 0.1%
0.16288839 1
 
< 0.1%
0.51284296 1
 
< 0.1%
0.0090395068 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99992173 1
< 0.1%
-0.99900527 1
< 0.1%
-0.9976812 1
< 0.1%
-0.99457688 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99902752 1
< 0.1%
0.99670586 1
< 0.1%
0.98927619 1
< 0.1%
0.98655265 1
< 0.1%

tBodyAcc-correlation()-X,Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1938023207
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative5483
Negative (%)74.6%
Memory size57.6 KiB
2025-03-02T10:03:25.759300image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.752843685
Q1-0.4035112175
median-0.18967269
Q30.005169547
95-th percentile0.3662286885
Maximum1
Range2
Interquartile range (IQR)0.4086807645

Descriptive statistics

Standard deviation0.3311222028
Coefficient of variation (CV)-1.708556438
Kurtosis0.368402804
Mean-0.1938023207
Median Absolute Deviation (MAD)0.2041867575
Skewness0.2370455238
Sum-1424.834662
Variance0.1096419132
MonotonicityNot monotonic
2025-03-02T10:03:25.806053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.43512919 1
 
< 0.1%
0.65043838 1
 
< 0.1%
0.62472655 1
 
< 0.1%
-0.031696089 1
 
< 0.1%
-0.072126489 1
 
< 0.1%
0.55033996 1
 
< 0.1%
0.25461025 1
 
< 0.1%
0.14540129 1
 
< 0.1%
0.72183037 1
 
< 0.1%
-0.10333627 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99891689 1
< 0.1%
-0.99789968 1
< 0.1%
-0.99146642 1
< 0.1%
-0.98865634 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99483957 1
< 0.1%
0.99314944 1
< 0.1%
0.98123374 1
< 0.1%
0.97682927 1
< 0.1%

tBodyAcc-correlation()-Y,Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1050050853
Minimum-0.97221933
Maximum1
Zeros0
Zeros (%)0.0%
Negative2700
Negative (%)36.7%
Memory size57.6 KiB
2025-03-02T10:03:25.852227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.97221933
5-th percentile-0.622820352
Q1-0.1479700225
median0.147481965
Q30.3822308675
95-th percentile0.6814323065
Maximum1
Range1.97221933
Interquartile range (IQR)0.53020089

Descriptive statistics

Standard deviation0.3853787201
Coefficient of variation (CV)3.670095777
Kurtosis-0.2122694349
Mean0.1050050853
Median Absolute Deviation (MAD)0.25867137
Skewness-0.3598391972
Sum771.9973871
Variance0.1485167579
MonotonicityNot monotonic
2025-03-02T10:03:25.900123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.66079033 1
 
< 0.1%
0.67823791 1
 
< 0.1%
0.87504443 1
 
< 0.1%
0.83144749 1
 
< 0.1%
0.55198124 1
 
< 0.1%
0.5901317 1
 
< 0.1%
0.67883338 1
 
< 0.1%
0.53406358 1
 
< 0.1%
0.61498685 1
 
< 0.1%
0.52401997 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.97221933 1
< 0.1%
-0.96963799 1
< 0.1%
-0.96410417 1
< 0.1%
-0.96046873 1
< 0.1%
-0.95555199 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99951266 1
< 0.1%
0.99838743 1
< 0.1%
0.99738005 1
< 0.1%
0.99697665 1
< 0.1%

tGravityAcc-mean()-X
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6641218887
Minimum-1
Maximum0.99154906
Zeros0
Zeros (%)0.0%
Negative1404
Negative (%)19.1%
Memory size57.6 KiB
2025-03-02T10:03:25.947329image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.493815376
Q10.8048633075
median0.91951253
Q30.953064985
95-th percentile0.9712458215
Maximum0.99154906
Range1.99154906
Interquartile range (IQR)0.1482016775

Descriptive statistics

Standard deviation0.5167631361
Coefficient of variation (CV)0.7781148986
Kurtosis0.8856260593
Mean0.6641218887
Median Absolute Deviation (MAD)0.04335965
Skewness-1.611762999
Sum4882.624125
Variance0.2670441388
MonotonicityNot monotonic
2025-03-02T10:03:25.993063image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.96967517 2
 
< 0.1%
0.96339614 1
 
< 0.1%
0.93190819 1
 
< 0.1%
0.85931162 1
 
< 0.1%
0.86809494 1
 
< 0.1%
0.87082062 1
 
< 0.1%
0.86655688 1
 
< 0.1%
0.85798877 1
 
< 0.1%
0.84857655 1
 
< 0.1%
0.84414103 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.94656635 1
< 0.1%
-0.94186102 1
< 0.1%
-0.94021189 1
< 0.1%
-0.93673012 1
< 0.1%
ValueCountFrequency (%)
0.99154906 1
< 0.1%
0.98889544 1
< 0.1%
0.98527183 1
< 0.1%
0.98490592 1
< 0.1%
0.98409379 1
< 0.1%

tGravityAcc-mean()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01100604046
Minimum-0.53522237
Maximum1
Zeros0
Zeros (%)0.0%
Negative4974
Negative (%)67.7%
Memory size57.6 KiB
2025-03-02T10:03:26.038187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.53522237
5-th percentile-0.358991059
Q1-0.23902061
median-0.143563995
Q30.1476271825
95-th percentile0.837642897
Maximum1
Range1.53522237
Interquartile range (IQR)0.3866477925

Descriptive statistics

Standard deviation0.3722372084
Coefficient of variation (CV)33.8211739
Kurtosis0.2713075885
Mean0.01100604046
Median Absolute Deviation (MAD)0.126421616
Skewness1.211928563
Sum80.91640946
Variance0.1385605393
MonotonicityNot monotonic
2025-03-02T10:03:26.083829image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.14083968 1
 
< 0.1%
-0.17560463 1
 
< 0.1%
-0.17026591 1
 
< 0.1%
-0.16548542 1
 
< 0.1%
-0.16588591 1
 
< 0.1%
-0.17070504 1
 
< 0.1%
-0.17505899 1
 
< 0.1%
-0.17871791 1
 
< 0.1%
-0.1814017 1
 
< 0.1%
-0.18034029 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.53522237 1
< 0.1%
-0.4962135 1
< 0.1%
-0.48370186 1
< 0.1%
-0.48139563 1
< 0.1%
-0.4741974 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98840363 1
< 0.1%
0.98810409 1
< 0.1%
0.98805104 1
< 0.1%
0.98772665 1
< 0.1%

tGravityAcc-mean()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09392027353
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3301
Negative (%)44.9%
Memory size57.6 KiB
2025-03-02T10:03:26.129964image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.373297411
Q1-0.1238829525
median0.026410146
Q30.233020215
95-th percentile0.8395207275
Maximum1
Range2
Interquartile range (IQR)0.3569031675

Descriptive statistics

Standard deviation0.3477924809
Coefficient of variation (CV)3.703060775
Kurtosis0.37016902
Mean0.09392027353
Median Absolute Deviation (MAD)0.17400775
Skewness0.6825587613
Sum690.501851
Variance0.1209596098
MonotonicityNot monotonic
2025-03-02T10:03:26.177481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.11537494 1
 
< 0.1%
-0.39326075 1
 
< 0.1%
-0.38251186 1
 
< 0.1%
-0.36917519 1
 
< 0.1%
-0.36423838 1
 
< 0.1%
-0.37099747 1
 
< 0.1%
-0.38473024 1
 
< 0.1%
-0.39841144 1
 
< 0.1%
-0.40487863 1
 
< 0.1%
-0.40137124 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99985803 1
< 0.1%
-0.99947046 1
< 0.1%
-0.99945181 1
< 0.1%
-0.99942508 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9993499 1
< 0.1%
0.99925929 1
< 0.1%
0.99912169 1
< 0.1%
0.99836482 1
< 0.1%

tGravityAcc-std()-X
Real number (ℝ)

Distinct7346
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9645225775
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7344
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:26.222941image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9988043185
Q1-0.9949927375
median-0.98190797
Q3-0.960811365
95-th percentile-0.885387102
Maximum1
Range2
Interquartile range (IQR)0.0341813725

Descriptive statistics

Standard deviation0.07799930633
Coefficient of variation (CV)-0.08086830537
Kurtosis177.9113302
Mean-0.9645225775
Median Absolute Deviation (MAD)0.014520415
Skewness10.70552159
Sum-7091.16999
Variance0.006083891788
MonotonicityNot monotonic
2025-03-02T10:03:26.269533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.95416267 2
 
< 0.1%
-0.99564278 2
 
< 0.1%
-0.99899687 2
 
< 0.1%
-0.99790398 2
 
< 0.1%
-0.98994901 2
 
< 0.1%
-0.99405832 2
 
< 0.1%
-0.99105819 1
 
< 0.1%
-0.98330474 1
 
< 0.1%
-0.97803179 1
 
< 0.1%
-0.96784058 1
 
< 0.1%
Other values (7336) 7336
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99996966 1
< 0.1%
-0.99995397 1
< 0.1%
-0.99992528 1
< 0.1%
-0.9999145 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.78302801 1
< 0.1%
0.69998771 1
< 0.1%
0.38173281 1
< 0.1%
0.28601047 1
< 0.1%

tGravityAcc-std()-Y
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9536837188
Minimum-0.99982977
Maximum1
Zeros0
Zeros (%)0.0%
Negative7339
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:26.315939image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99982977
5-th percentile-0.998151495
Q1-0.991477635
median-0.97630726
Q3-0.9471832825
95-th percentile-0.8546758175
Maximum1
Range1.99982977
Interquartile range (IQR)0.0442943525

Descriptive statistics

Standard deviation0.09146514045
Coefficient of variation (CV)-0.09590720555
Kurtosis123.1784244
Mean-0.9536837188
Median Absolute Deviation (MAD)0.01817531
Skewness8.958500971
Sum-7011.482701
Variance0.008365871917
MonotonicityNot monotonic
2025-03-02T10:03:26.362450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99104275 2
 
< 0.1%
-0.97767107 2
 
< 0.1%
-0.97040129 2
 
< 0.1%
-0.99435024 1
 
< 0.1%
-0.98581174 1
 
< 0.1%
-0.97409381 1
 
< 0.1%
-0.98479133 1
 
< 0.1%
-0.97832917 1
 
< 0.1%
-0.97229762 1
 
< 0.1%
-0.99228488 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-0.99982977 1
< 0.1%
-0.99981806 1
< 0.1%
-0.99981278 1
< 0.1%
-0.99980495 1
< 0.1%
-0.99979377 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89313501 1
< 0.1%
0.73429269 1
< 0.1%
0.60588948 1
< 0.1%
0.49900661 1
< 0.1%

tGravityAcc-std()-Z
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9369288897
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7333
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:03:26.409598image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996480074
Q1-0.98691385
median-0.966165855
Q3-0.9276425625
95-th percentile-0.7930976905
Maximum1
Range2
Interquartile range (IQR)0.0592712875

Descriptive statistics

Standard deviation0.1072007184
Coefficient of variation (CV)-0.1144171341
Kurtosis75.68900746
Mean-0.9369288897
Median Absolute Deviation (MAD)0.02448267
Skewness6.926987741
Sum-6888.301197
Variance0.01149199402
MonotonicityNot monotonic
2025-03-02T10:03:26.456266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.97491251 2
 
< 0.1%
-0.98920311 2
 
< 0.1%
-0.81663813 1
 
< 0.1%
-0.95607422 1
 
< 0.1%
-0.9422492 1
 
< 0.1%
-0.92458101 1
 
< 0.1%
-0.96377993 1
 
< 0.1%
-0.97378429 1
 
< 0.1%
-0.94696699 1
 
< 0.1%
-0.94734626 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99985347 1
< 0.1%
-0.99978448 1
< 0.1%
-0.99974886 1
< 0.1%
-0.99971762 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8034583 1
< 0.1%
0.73071663 1
< 0.1%
0.52405426 1
< 0.1%
0.51017847 1
< 0.1%

tGravityAcc-mad()-X
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9653362594
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7344
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:26.502319image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.998847655
Q1-0.995053445
median-0.982637585
Q3-0.96223196
95-th percentile-0.8851301585
Maximum1
Range2
Interquartile range (IQR)0.032821485

Descriptive statistics

Standard deviation0.07672655725
Coefficient of variation (CV)-0.07948168994
Kurtosis191.959869
Mean-0.9653362594
Median Absolute Deviation (MAD)0.013867695
Skewness11.05551188
Sum-7097.152179
Variance0.005886964588
MonotonicityNot monotonic
2025-03-02T10:03:26.549091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98719265 2
 
< 0.1%
-0.99918087 2
 
< 0.1%
-0.98659085 2
 
< 0.1%
-0.99587639 2
 
< 0.1%
-0.99766614 2
 
< 0.1%
-0.84378437 1
 
< 0.1%
-0.90613773 1
 
< 0.1%
-0.97549794 1
 
< 0.1%
-0.98234032 1
 
< 0.1%
-0.98500137 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999589 1
< 0.1%
-0.99994567 1
< 0.1%
-0.99994288 1
< 0.1%
-0.99992796 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8356586 1
< 0.1%
0.73594509 1
< 0.1%
0.35027279 1
< 0.1%
0.26350371 1
< 0.1%

tGravityAcc-mad()-Y
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9546834182
Minimum-0.99984878
Maximum1
Zeros0
Zeros (%)0.0%
Negative7339
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:26.595964image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99984878
5-th percentile-0.9982121095
Q1-0.99173761
median-0.97725936
Q3-0.9485355225
95-th percentile-0.8561111595
Maximum1
Range1.99984878
Interquartile range (IQR)0.0432020875

Descriptive statistics

Standard deviation0.09044343394
Coefficient of variation (CV)-0.09473657153
Kurtosis128.2673613
Mean-0.9546834182
Median Absolute Deviation (MAD)0.01747359
Skewness9.125358298
Sum-7018.832491
Variance0.008180014743
MonotonicityNot monotonic
2025-03-02T10:03:26.644056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96564887 2
 
< 0.1%
-0.99900258 2
 
< 0.1%
-0.99586332 2
 
< 0.1%
-0.98373925 2
 
< 0.1%
-0.9967627 2
 
< 0.1%
-0.99121251 1
 
< 0.1%
-0.97874519 1
 
< 0.1%
-0.97238063 1
 
< 0.1%
-0.99247163 1
 
< 0.1%
-0.98817356 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-0.99984878 1
< 0.1%
-0.99984679 1
< 0.1%
-0.99983794 1
< 0.1%
-0.99981374 1
< 0.1%
-0.99980552 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.91420574 1
< 0.1%
0.72589092 1
< 0.1%
0.59415997 1
< 0.1%
0.51666098 1
< 0.1%

tGravityAcc-mad()-Z
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.938270498
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7334
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:26.691568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9965695215
Q1-0.9871171625
median-0.967313545
Q3-0.929873195
95-th percentile-0.7949247345
Maximum1
Range2
Interquartile range (IQR)0.0572439675

Descriptive statistics

Standard deviation0.1061481159
Coefficient of variation (CV)-0.113131678
Kurtosis77.80333329
Mean-0.938270498
Median Absolute Deviation (MAD)0.023525595
Skewness7.01997466
Sum-6898.164701
Variance0.01126742251
MonotonicityNot monotonic
2025-03-02T10:03:26.739810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99169033 2
 
< 0.1%
-0.96335053 2
 
< 0.1%
-0.964585 2
 
< 0.1%
-0.89467735 1
 
< 0.1%
-0.70747554 1
 
< 0.1%
-0.92457207 1
 
< 0.1%
-0.96268309 1
 
< 0.1%
-0.97376489 1
 
< 0.1%
-0.94690041 1
 
< 0.1%
-0.94918289 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99988527 1
< 0.1%
-0.99979564 1
< 0.1%
-0.99977337 1
< 0.1%
-0.99967899 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.81506939 1
< 0.1%
0.74915939 1
< 0.1%
0.51318825 1
< 0.1%
0.49239688 1
< 0.1%

tGravityAcc-max()-X
Real number (ℝ)

Distinct5703
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.604164839
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1389
Negative (%)18.9%
Memory size57.6 KiB
2025-03-02T10:03:26.788078image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.55021971
Q10.7433864575
median0.85733485
Q30.8867646025
95-th percentile0.9023232185
Maximum1
Range2
Interquartile range (IQR)0.143378145

Descriptive statistics

Standard deviation0.5100727524
Coefficient of variation (CV)0.8442609026
Kurtosis0.9216608706
Mean0.604164839
Median Absolute Deviation (MAD)0.03754236
Skewness-1.623198924
Sum4441.819897
Variance0.2601742127
MonotonicityNot monotonic
2025-03-02T10:03:26.911867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.76875485 2
 
< 0.1%
0.8902179 2
 
< 0.1%
0.88692402 2
 
< 0.1%
0.87557808 2
 
< 0.1%
0.8745342 2
 
< 0.1%
0.80023264 2
 
< 0.1%
0.79941739 2
 
< 0.1%
0.77455728 2
 
< 0.1%
0.88808869 2
 
< 0.1%
0.86459325 2
 
< 0.1%
Other values (5693) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99295876 1
< 0.1%
-0.98505079 1
< 0.1%
-0.98408539 1
< 0.1%
-0.98159724 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97103074 1
< 0.1%
0.95698314 1
< 0.1%
0.95597277 2
< 0.1%
0.95511577 1
< 0.1%

tGravityAcc-max()-Y
Real number (ℝ)

Distinct5768
Distinct (%)78.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003282468503
Minimum-0.49387412
Maximum0.96830748
Zeros0
Zeros (%)0.0%
Negative5011
Negative (%)68.2%
Memory size57.6 KiB
2025-03-02T10:03:26.956242image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.49387412
5-th percentile-0.364699008
Q1-0.2461238
median-0.151599465
Q30.1415957425
95-th percentile0.792162648
Maximum0.96830748
Range1.4621816
Interquartile range (IQR)0.3877195425

Descriptive statistics

Standard deviation0.3605069622
Coefficient of variation (CV)-109.8280035
Kurtosis0.2516369979
Mean-0.003282468503
Median Absolute Deviation (MAD)0.124876375
Skewness1.207459452
Sum-24.13270843
Variance0.1299652698
MonotonicityNot monotonic
2025-03-02T10:03:27.003154image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.23461009 2
 
< 0.1%
0.48682806 2
 
< 0.1%
-0.078585375 2
 
< 0.1%
-0.27272652 2
 
< 0.1%
-0.26365019 2
 
< 0.1%
-0.064778572 2
 
< 0.1%
-0.086415659 2
 
< 0.1%
-0.088759015 2
 
< 0.1%
-0.23264474 2
 
< 0.1%
-0.2193092 2
 
< 0.1%
Other values (5758) 7332
99.7%
ValueCountFrequency (%)
-0.49387412 1
< 0.1%
-0.4876541 1
< 0.1%
-0.48248029 1
< 0.1%
-0.48074233 1
< 0.1%
-0.47887973 2
< 0.1%
ValueCountFrequency (%)
0.96830748 2
< 0.1%
0.95737044 1
< 0.1%
0.95573749 1
< 0.1%
0.94519506 1
< 0.1%
0.939339 2
< 0.1%

tGravityAcc-max()-Z
Real number (ℝ)

Distinct5689
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09895917294
Minimum-1
Maximum0.99658549
Zeros0
Zeros (%)0.0%
Negative3181
Negative (%)43.3%
Memory size57.6 KiB
2025-03-02T10:03:27.050388image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3648064225
Q1-0.1158162325
median0.036811323
Q30.23129598
95-th percentile0.830824105
Maximum0.99658549
Range1.99658549
Interquartile range (IQR)0.3471122125

Descriptive statistics

Standard deviation0.3433377452
Coefficient of variation (CV)3.46948883
Kurtosis0.3881672526
Mean0.09895917294
Median Absolute Deviation (MAD)0.173583345
Skewness0.6761192431
Sum727.5478395
Variance0.1178808073
MonotonicityNot monotonic
2025-03-02T10:03:27.097803image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.44318256 2
 
< 0.1%
-0.099124941 2
 
< 0.1%
0.47335502 2
 
< 0.1%
-0.2651829 2
 
< 0.1%
-0.024829157 2
 
< 0.1%
-0.23977178 2
 
< 0.1%
-0.22682185 2
 
< 0.1%
-0.020892071 2
 
< 0.1%
-0.28318212 2
 
< 0.1%
-0.29019554 2
 
< 0.1%
Other values (5679) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99958809 2
< 0.1%
-0.99817941 2
< 0.1%
-0.99718719 2
< 0.1%
-0.9965711 1
< 0.1%
ValueCountFrequency (%)
0.99658549 2
< 0.1%
0.99647883 1
< 0.1%
0.99602481 1
< 0.1%
0.99232072 2
< 0.1%
0.98985943 2
< 0.1%

tGravityAcc-min()-X
Real number (ℝ)

Distinct5617
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6785047275
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1407
Negative (%)19.1%
Memory size57.6 KiB
2025-03-02T10:03:27.144229image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4630733725
Q10.80427033
median0.92669263
Q30.9650954375
95-th percentile0.9882385005
Maximum1
Range2
Interquartile range (IQR)0.1608251075

Descriptive statistics

Standard deviation0.5086560883
Coefficient of variation (CV)0.7496721359
Kurtosis0.8989302115
Mean0.6785047275
Median Absolute Deviation (MAD)0.049177735
Skewness-1.609848931
Sum4988.366757
Variance0.2587310162
MonotonicityNot monotonic
2025-03-02T10:03:27.191128image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.98514823 2
 
< 0.1%
0.88645595 2
 
< 0.1%
0.88696113 2
 
< 0.1%
0.88291513 2
 
< 0.1%
-0.16267112 2
 
< 0.1%
0.87695511 2
 
< 0.1%
-0.16603496 2
 
< 0.1%
-0.54139394 2
 
< 0.1%
-0.53742139 2
 
< 0.1%
-0.53798208 2
 
< 0.1%
Other values (5607) 7332
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.98614862 1
< 0.1%
-0.93312578 2
< 0.1%
-0.93282611 1
< 0.1%
-0.89415443 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9980465 1
< 0.1%
0.99722918 1
< 0.1%
0.99720017 1
< 0.1%
0.99705384 1
< 0.1%

tGravityAcc-min()-Y
Real number (ℝ)

Distinct5681
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02324802847
Minimum-0.56815651
Maximum1
Zeros0
Zeros (%)0.0%
Negative4913
Negative (%)66.8%
Memory size57.6 KiB
2025-03-02T10:03:27.237287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.56815651
5-th percentile-0.34217967
Q1-0.2254438975
median-0.12927891
Q30.1406937875
95-th percentile0.84495821
Maximum1
Range1.56815651
Interquartile range (IQR)0.366137685

Descriptive statistics

Standard deviation0.3697367068
Coefficient of variation (CV)15.90400267
Kurtosis0.2916062795
Mean0.02324802847
Median Absolute Deviation (MAD)0.12839854
Skewness1.214616491
Sum170.9195053
Variance0.1367052323
MonotonicityNot monotonic
2025-03-02T10:03:27.284468image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.21493241 3
 
< 0.1%
-0.31971118 2
 
< 0.1%
0.11699173 2
 
< 0.1%
-0.34199542 2
 
< 0.1%
-0.33362671 2
 
< 0.1%
0.13621196 2
 
< 0.1%
0.13940764 2
 
< 0.1%
-0.32530971 2
 
< 0.1%
-0.25788596 2
 
< 0.1%
-0.33697027 2
 
< 0.1%
Other values (5671) 7331
99.7%
ValueCountFrequency (%)
-0.56815651 2
< 0.1%
-0.55783045 1
< 0.1%
-0.53962153 1
< 0.1%
-0.51717266 1
< 0.1%
-0.50274475 2
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.9998394 1
< 0.1%
0.99933834 1
< 0.1%
0.99910065 1
< 0.1%
0.99905089 1
< 0.1%

tGravityAcc-min()-Z
Real number (ℝ)

Distinct5726
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08061402358
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3497
Negative (%)47.6%
Memory size57.6 KiB
2025-03-02T10:03:27.332482image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3950696665
Q1-0.1420530425
median0.0127206875
Q30.223977345
95-th percentile0.830952284
Maximum1
Range2
Interquartile range (IQR)0.3660303875

Descriptive statistics

Standard deviation0.3500399933
Coefficient of variation (CV)4.342172462
Kurtosis0.3566259757
Mean0.08061402358
Median Absolute Deviation (MAD)0.1761498275
Skewness0.6881169622
Sum592.6743014
Variance0.1225279969
MonotonicityNot monotonic
2025-03-02T10:03:27.379711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.2907029 2
 
< 0.1%
-0.021508482 2
 
< 0.1%
-0.091827284 2
 
< 0.1%
-0.097474469 2
 
< 0.1%
0.35628139 2
 
< 0.1%
-0.43441592 2
 
< 0.1%
-0.09099692 2
 
< 0.1%
-0.10740814 2
 
< 0.1%
-0.41960631 2
 
< 0.1%
0.053651354 2
 
< 0.1%
Other values (5716) 7332
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.99992935 1
< 0.1%
-0.99808682 2
< 0.1%
-0.99717818 1
< 0.1%
-0.99688446 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99986112 1
< 0.1%
0.99943868 1
< 0.1%
0.9991751 1
< 0.1%
0.99870606 1
< 0.1%

tGravityAcc-sma()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07833469116
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4266
Negative (%)58.0%
Memory size57.6 KiB
2025-03-02T10:03:27.426370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6832845745
Q1-0.3985483825
median-0.10893644
Q30.227523625
95-th percentile0.5762779725
Maximum1
Range2
Interquartile range (IQR)0.6260720075

Descriptive statistics

Standard deviation0.4010196752
Coefficient of variation (CV)-5.119311371
Kurtosis-0.7189136361
Mean-0.07833469116
Median Absolute Deviation (MAD)0.311106755
Skewness0.2189811529
Sum-575.9166494
Variance0.1608167799
MonotonicityNot monotonic
2025-03-02T10:03:27.474111image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.37542596 1
 
< 0.1%
0.27696324 1
 
< 0.1%
0.24818706 1
 
< 0.1%
0.21645839 1
 
< 0.1%
0.20959577 1
 
< 0.1%
0.23254452 1
 
< 0.1%
0.26458712 1
 
< 0.1%
0.29298136 1
 
< 0.1%
0.30902103 1
 
< 0.1%
0.30107659 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99097882 1
< 0.1%
-0.98579019 1
< 0.1%
-0.97776304 1
< 0.1%
-0.971476 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98981428 1
< 0.1%
0.9709815 1
< 0.1%
0.95957377 1
< 0.1%
0.95877467 1
< 0.1%

tGravityAcc-energy()-X
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4367105644
Minimum-1
Maximum0.975855
Zeros0
Zeros (%)0.0%
Negative1469
Negative (%)20.0%
Memory size57.6 KiB
2025-03-02T10:03:27.520969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9935232195
Q10.5037833275
median0.785488915
Q30.87228326
95-th percentile0.9202713305
Maximum0.975855
Range1.975855
Interquartile range (IQR)0.3684999325

Descriptive statistics

Standard deviation0.6979038139
Coefficient of variation (CV)1.598092354
Kurtosis0.1307553357
Mean0.4367105644
Median Absolute Deviation (MAD)0.112015785
Skewness-1.395859416
Sum3210.69607
Variance0.4870697335
MonotonicityNot monotonic
2025-03-02T10:03:27.567509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99388606 2
 
< 0.1%
0.89159551 2
 
< 0.1%
0.89946864 1
 
< 0.1%
0.61761495 1
 
< 0.1%
0.63450223 1
 
< 0.1%
0.65605902 1
 
< 0.1%
0.66278321 1
 
< 0.1%
0.65227715 1
 
< 0.1%
0.63124136 1
 
< 0.1%
0.60828388 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999983 1
< 0.1%
-0.9999997 1
< 0.1%
-0.99999964 1
< 0.1%
-0.99999962 1
< 0.1%
ValueCountFrequency (%)
0.975855 1
< 0.1%
0.96797294 1
< 0.1%
0.95774529 1
< 0.1%
0.95753815 1
< 0.1%
0.95484451 1
< 0.1%

tGravityAcc-energy()-Y
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7303794263
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6631
Negative (%)90.2%
Memory size57.6 KiB
2025-03-02T10:03:27.614979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9976240755
Q1-0.96672839
median-0.91006017
Q3-0.7690086625
95-th percentile0.4130533805
Maximum1
Range2
Interquartile range (IQR)0.1977197275

Descriptive statistics

Standard deviation0.4370380029
Coefficient of variation (CV)-0.5983711851
Kurtosis4.263789667
Mean-0.7303794263
Median Absolute Deviation (MAD)0.071039505
Skewness2.281460407
Sum-5369.749542
Variance0.191002216
MonotonicityNot monotonic
2025-03-02T10:03:27.662174image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.93910425 2
 
< 0.1%
-0.99990977 2
 
< 0.1%
-0.96084442 2
 
< 0.1%
-0.91453458 2
 
< 0.1%
-0.97090521 1
 
< 0.1%
-0.94969183 1
 
< 0.1%
-0.95211465 1
 
< 0.1%
-0.95249128 1
 
< 0.1%
-0.95526719 1
 
< 0.1%
-0.95807932 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999904 1
< 0.1%
-0.999998 1
< 0.1%
-0.99999765 1
< 0.1%
-0.99999599 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95421533 1
< 0.1%
0.95305231 1
< 0.1%
0.95284619 1
< 0.1%
0.95158738 1
< 0.1%

tGravityAcc-energy()-Z
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7447050001
Minimum-0.99999923
Maximum1
Zeros0
Zeros (%)0.0%
Negative6695
Negative (%)91.1%
Memory size57.6 KiB
2025-03-02T10:03:27.708518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999923
5-th percentile-0.999442151
Q1-0.9898916225
median-0.942191675
Q3-0.7405182525
95-th percentile0.402723171
Maximum1
Range1.99999923
Interquartile range (IQR)0.24937337

Descriptive statistics

Standard deviation0.4359471883
Coefficient of variation (CV)-0.5853958121
Kurtosis3.938584619
Mean-0.7447050001
Median Absolute Deviation (MAD)0.05573115
Skewness2.199835514
Sum-5475.07116
Variance0.190049951
MonotonicityNot monotonic
2025-03-02T10:03:27.756845image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99401205 2
 
< 0.1%
-0.9989052 2
 
< 0.1%
-0.99991829 2
 
< 0.1%
-0.97551037 1
 
< 0.1%
-0.88218055 1
 
< 0.1%
-0.71935362 1
 
< 0.1%
-0.69852501 1
 
< 0.1%
-0.6770317 1
 
< 0.1%
-0.66672702 1
 
< 0.1%
-0.67238543 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-0.99999923 1
< 0.1%
-0.9999991 1
< 0.1%
-0.99999882 1
< 0.1%
-0.99999827 1
< 0.1%
-0.99999824 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99944864 1
< 0.1%
0.99789264 1
< 0.1%
0.99781878 1
< 0.1%
0.99771684 1
< 0.1%

tGravityAcc-iqr()-X
Real number (ℝ)

Distinct7338
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9675668527
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7345
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:27.803755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9989681465
Q1-0.9951981225
median-0.98467904
Q3-0.9654160425
95-th percentile-0.8904849485
Maximum1
Range2
Interquartile range (IQR)0.02978208

Descriptive statistics

Standard deviation0.07333259415
Coefficient of variation (CV)-0.07579072592
Kurtosis240.7324321
Mean-0.9675668527
Median Absolute Deviation (MAD)0.012210585
Skewness12.189739
Sum-7113.551501
Variance0.005377669364
MonotonicityNot monotonic
2025-03-02T10:03:27.852282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99657342 2
 
< 0.1%
-0.98353448 2
 
< 0.1%
-0.98447572 2
 
< 0.1%
-0.94968716 2
 
< 0.1%
-0.99728378 2
 
< 0.1%
-0.99457504 2
 
< 0.1%
-0.97190733 2
 
< 0.1%
-0.99922984 2
 
< 0.1%
-0.996644 2
 
< 0.1%
-0.9889161 2
 
< 0.1%
Other values (7328) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999607 1
< 0.1%
-0.99998208 1
< 0.1%
-0.99997435 1
< 0.1%
-0.99996241 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97858464 1
< 0.1%
0.84174194 1
< 0.1%
0.25402664 1
< 0.1%
0.18438252 1
< 0.1%

tGravityAcc-iqr()-Y
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9580390804
Minimum-0.99994572
Maximum1
Zeros0
Zeros (%)0.0%
Negative7341
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:27.899242image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99994572
5-th percentile-0.998459583
Q1-0.9925779375
median-0.98011961
Q3-0.953160575
95-th percentile-0.8605184935
Maximum1
Range1.99994572
Interquartile range (IQR)0.0394173625

Descriptive statistics

Standard deviation0.08700410121
Coefficient of variation (CV)-0.09081477258
Kurtosis146.0267265
Mean-0.9580390804
Median Absolute Deviation (MAD)0.01534301
Skewness9.689245942
Sum-7043.503319
Variance0.007569713628
MonotonicityNot monotonic
2025-03-02T10:03:27.946573image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99802106 2
 
< 0.1%
-0.99618329 2
 
< 0.1%
-0.99861853 2
 
< 0.1%
-0.99760179 2
 
< 0.1%
-0.99517708 1
 
< 0.1%
-0.95948593 1
 
< 0.1%
-0.95080672 1
 
< 0.1%
-0.9909393 1
 
< 0.1%
-0.99663529 1
 
< 0.1%
-0.98884915 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-0.99994572 1
< 0.1%
-0.99990565 1
< 0.1%
-0.99989746 1
< 0.1%
-0.99989714 1
< 0.1%
-0.99988562 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9643443 1
< 0.1%
0.68174356 1
< 0.1%
0.55387014 1
< 0.1%
0.550219 1
< 0.1%

tGravityAcc-iqr()-Z
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9430019461
Minimum-0.99996947
Maximum1
Zeros0
Zeros (%)0.0%
Negative7337
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:27.993998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99996947
5-th percentile-0.99713191
Q1-0.98822352
median-0.97115024
Q3-0.93645191
95-th percentile-0.807471984
Maximum1
Range1.99996947
Interquartile range (IQR)0.05177161

Descriptive statistics

Standard deviation0.1015471989
Coefficient of variation (CV)-0.1076850364
Kurtosis85.24358252
Mean-0.9430019461
Median Absolute Deviation (MAD)0.0208623
Skewness7.316378122
Sum-6932.950308
Variance0.01031183361
MonotonicityNot monotonic
2025-03-02T10:03:28.120596image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96361635 2
 
< 0.1%
-0.98577474 2
 
< 0.1%
-0.91774264 1
 
< 0.1%
-0.8261833 1
 
< 0.1%
-0.93365252 1
 
< 0.1%
-0.9632337 1
 
< 0.1%
-0.9739588 1
 
< 0.1%
-0.94654983 1
 
< 0.1%
-0.95160576 1
 
< 0.1%
-0.94460894 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-0.99996947 1
< 0.1%
-0.99994721 1
< 0.1%
-0.99987548 1
< 0.1%
-0.99984025 1
< 0.1%
-0.99981267 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.82581081 1
< 0.1%
0.76551565 1
< 0.1%
0.45943425 1
< 0.1%
0.45858994 1
< 0.1%

tGravityAcc-entropy()-X
Real number (ℝ)

Distinct3168
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6675080835
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7019
Negative (%)95.5%
Memory size57.6 KiB
2025-03-02T10:03:28.166373image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.744939785
Q3-0.3924272775
95-th percentile-0.0216298488
Maximum1
Range2
Interquartile range (IQR)0.6075727225

Descriptive statistics

Standard deviation0.3651077837
Coefficient of variation (CV)-0.5469713291
Kurtosis0.002750650378
Mean-0.6675080835
Median Absolute Deviation (MAD)0.255060215
Skewness0.8546507949
Sum-4907.51943
Variance0.1333036937
MonotonicityNot monotonic
2025-03-02T10:03:28.214521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 3118
42.4%
-0.79875375 28
 
0.4%
-0.68797241 24
 
0.3%
-0.82339277 23
 
0.3%
-0.83012354 22
 
0.3%
-0.83710607 21
 
0.3%
-0.68835807 21
 
0.3%
-0.69997649 21
 
0.3%
-0.70986539 21
 
0.3%
-0.787674 20
 
0.3%
Other values (3158) 4033
54.9%
ValueCountFrequency (%)
-1 3118
42.4%
-0.97940022 12
 
0.2%
-0.96371135 8
 
0.1%
-0.94989357 18
 
0.2%
-0.93730089 16
 
0.2%
ValueCountFrequency (%)
1 1
< 0.1%
0.94838633 1
< 0.1%
0.81332693 1
< 0.1%
0.79952164 1
< 0.1%
0.78631957 1
< 0.1%

tGravityAcc-entropy()-Y
Real number (ℝ)

Distinct1179
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8691347966
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7165
Negative (%)97.5%
Memory size57.6 KiB
2025-03-02T10:03:28.261981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-1
Q3-0.871753
95-th percentile-0.223903267
Maximum1
Range2
Interquartile range (IQR)0.128247

Descriptive statistics

Standard deviation0.2814275312
Coefficient of variation (CV)-0.3238019377
Kurtosis8.030061793
Mean-0.8691347966
Median Absolute Deviation (MAD)0
Skewness2.70794499
Sum-6389.879024
Variance0.07920145534
MonotonicityNot monotonic
2025-03-02T10:03:28.309210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 5401
73.5%
-0.71433603 26
 
0.4%
-0.71509131 23
 
0.3%
-0.73914308 21
 
0.3%
-0.71554493 20
 
0.3%
-0.71837495 19
 
0.3%
-0.71933811 18
 
0.2%
-0.8213536 18
 
0.2%
-0.77181168 17
 
0.2%
-0.72157446 17
 
0.2%
Other values (1169) 1772
 
24.1%
ValueCountFrequency (%)
-1 5401
73.5%
-0.98116731 12
 
0.2%
-0.96682426 10
 
0.1%
-0.95419179 4
 
0.1%
-0.94267934 10
 
0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.98045784 1
< 0.1%
0.96428571 1
< 0.1%
0.88611708 1
< 0.1%
0.87777927 1
< 0.1%

tGravityAcc-entropy()-Z
Real number (ℝ)

Distinct2710
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6847151146
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6810
Negative (%)92.6%
Memory size57.6 KiB
2025-03-02T10:03:28.355747image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.86991928
Q3-0.4248364375
95-th percentile0.09763184425
Maximum1
Range2
Interquartile range (IQR)0.5751635625

Descriptive statistics

Standard deviation0.3964639793
Coefficient of variation (CV)-0.5790203412
Kurtosis0.7295148284
Mean-0.6847151146
Median Absolute Deviation (MAD)0.13008072
Skewness1.186744553
Sum-5034.025522
Variance0.1571836869
MonotonicityNot monotonic
2025-03-02T10:03:28.403843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 3552
48.3%
-0.73001929 31
 
0.4%
-0.69252448 28
 
0.4%
-0.69236188 27
 
0.4%
-0.71010364 25
 
0.3%
-0.7759587 23
 
0.3%
-0.706328 22
 
0.3%
-0.70461409 22
 
0.3%
-0.87829606 21
 
0.3%
-0.71665292 21
 
0.3%
Other values (2700) 3580
48.7%
ValueCountFrequency (%)
-1 3552
48.3%
-0.97971864 10
 
0.1%
-0.96427228 12
 
0.2%
-0.95066808 11
 
0.1%
-0.94404576 2
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98430451 1
< 0.1%
0.96906066 1
< 0.1%
0.9632591 1
< 0.1%
0.93359878 1
< 0.1%

tGravityAcc-arCoeff()-X,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.51577064
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7264
Negative (%)98.8%
Memory size57.6 KiB
2025-03-02T10:03:28.449871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.880421087
Q1-0.65968108
median-0.521547505
Q3-0.3784424575
95-th percentile-0.1643376625
Maximum1
Range2
Interquartile range (IQR)0.2812386225

Descriptive statistics

Standard deviation0.2136192235
Coefficient of variation (CV)-0.4141748424
Kurtosis0.7557857995
Mean-0.51577064
Median Absolute Deviation (MAD)0.14045995
Skewness0.3064179352
Sum-3791.945745
Variance0.04563317267
MonotonicityNot monotonic
2025-03-02T10:03:28.497284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.590425 1
 
< 0.1%
-0.61699132 1
 
< 0.1%
-0.56969206 1
 
< 0.1%
-0.53728446 1
 
< 0.1%
-0.54155513 1
 
< 0.1%
-0.63795829 1
 
< 0.1%
-0.51770005 1
 
< 0.1%
-0.57482704 1
 
< 0.1%
-0.65083982 1
 
< 0.1%
-0.59778692 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9991975 1
< 0.1%
-0.9982844 1
< 0.1%
-0.9950956 1
< 0.1%
-0.99491324 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.83079744 1
< 0.1%
0.44855091 1
< 0.1%
0.4211849 1
< 0.1%
0.41226417 1
< 0.1%

tGravityAcc-arCoeff()-X,2
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5531772286
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative57
Negative (%)0.8%
Memory size57.6 KiB
2025-03-02T10:03:28.544229image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.199870978
Q10.4140262775
median0.56511337
Q30.7026026575
95-th percentile0.88392653
Maximum1
Range2
Interquartile range (IQR)0.28857638

Descriptive statistics

Standard deviation0.2077450135
Coefficient of variation (CV)0.3755487442
Kurtosis0.6910188398
Mean0.5531772286
Median Absolute Deviation (MAD)0.14329027
Skewness-0.4096960282
Sum4066.958984
Variance0.04315799065
MonotonicityNot monotonic
2025-03-02T10:03:28.592849image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.66198668 2
 
< 0.1%
0.5911463 1
 
< 0.1%
0.86171717 1
 
< 0.1%
0.48699244 1
 
< 0.1%
0.56917065 1
 
< 0.1%
0.54846974 1
 
< 0.1%
0.55380604 1
 
< 0.1%
0.65597961 1
 
< 0.1%
0.54182224 1
 
< 0.1%
0.57458406 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.83483129 1
< 0.1%
-0.36435272 1
< 0.1%
-0.33950724 1
< 0.1%
-0.31434111 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99979836 1
< 0.1%
0.99787884 1
< 0.1%
0.99511116 1
< 0.1%
0.99498764 1
< 0.1%

tGravityAcc-arCoeff()-X,3
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5899075368
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7316
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:03:28.640680image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8903973095
Q1-0.7480821
median-0.6091426
Q3-0.4473194175
95-th percentile-0.233480415
Maximum1
Range2
Interquartile range (IQR)0.3007626825

Descriptive statistics

Standard deviation0.2064064797
Coefficient of variation (CV)-0.3498963259
Kurtosis0.5984572873
Mean-0.5899075368
Median Absolute Deviation (MAD)0.148273225
Skewness0.5133874339
Sum-4337.000211
Variance0.04260363487
MonotonicityNot monotonic
2025-03-02T10:03:28.687999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.74779421 2
 
< 0.1%
-0.76854963 2
 
< 0.1%
-0.59177346 1
 
< 0.1%
-0.96557127 1
 
< 0.1%
-0.56834628 1
 
< 0.1%
-0.55950211 1
 
< 0.1%
-0.56615044 1
 
< 0.1%
-0.67419602 1
 
< 0.1%
-0.56639925 1
 
< 0.1%
-0.574223 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99958704 1
< 0.1%
-0.99705417 1
< 0.1%
-0.99650773 1
< 0.1%
-0.99616501 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.83950744 1
< 0.1%
0.32278392 1
< 0.1%
0.25592656 1
< 0.1%
0.20364791 1
< 0.1%

tGravityAcc-arCoeff()-X,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6260185635
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative27
Negative (%)0.4%
Memory size57.6 KiB
2025-03-02T10:03:28.734219image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.2564381065
Q10.47795591
median0.65228723
Q30.7934247325
95-th percentile0.9176742605
Maximum1
Range2
Interquartile range (IQR)0.3154688225

Descriptive statistics

Standard deviation0.2095146413
Coefficient of variation (CV)0.3346780008
Kurtosis0.476005457
Mean0.6260185635
Median Absolute Deviation (MAD)0.15455254
Skewness-0.588272602
Sum4602.488479
Variance0.04389638492
MonotonicityNot monotonic
2025-03-02T10:03:28.781377image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.59246928 1
 
< 0.1%
0.61128138 1
 
< 0.1%
0.56737655 1
 
< 0.1%
0.57051362 1
 
< 0.1%
0.57872527 1
 
< 0.1%
0.69274444 1
 
< 0.1%
0.59154886 1
 
< 0.1%
0.57390651 1
 
< 0.1%
0.65512609 1
 
< 0.1%
0.6235651 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.84481691 1
< 0.1%
-0.28075675 1
< 0.1%
-0.17051286 1
< 0.1%
-0.11348521 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9992689 1
< 0.1%
0.9990374 1
< 0.1%
0.99895971 1
< 0.1%
0.9983335 1
< 0.1%

tGravityAcc-arCoeff()-Y,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.345328378
Minimum-1
Maximum0.81316975
Zeros0
Zeros (%)0.0%
Negative6490
Negative (%)88.3%
Memory size57.6 KiB
2025-03-02T10:03:28.827029image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8583602035
Q1-0.541497635
median-0.34235129
Q3-0.146778545
95-th percentile0.1292391425
Maximum0.81316975
Range1.81316975
Interquartile range (IQR)0.39471909

Descriptive statistics

Standard deviation0.2927082185
Coefficient of variation (CV)-0.8476228342
Kurtosis-0.1556646959
Mean-0.345328378
Median Absolute Deviation (MAD)0.197967075
Skewness0.05114968208
Sum-2538.854235
Variance0.08567810118
MonotonicityNot monotonic
2025-03-02T10:03:28.873999image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.74544878 1
 
< 0.1%
-0.73057264 1
 
< 0.1%
-0.76751586 1
 
< 0.1%
-0.46072189 1
 
< 0.1%
-0.68656083 1
 
< 0.1%
-0.73861631 1
 
< 0.1%
-0.69109911 1
 
< 0.1%
-0.3771848 1
 
< 0.1%
-0.37691864 1
 
< 0.1%
-0.3418082 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99668387 1
< 0.1%
-0.99557961 1
< 0.1%
-0.99534725 1
< 0.1%
-0.99459073 1
< 0.1%
ValueCountFrequency (%)
0.81316975 1
< 0.1%
0.80055624 1
< 0.1%
0.78564972 1
< 0.1%
0.73275613 1
< 0.1%
0.67748025 1
< 0.1%

tGravityAcc-arCoeff()-Y,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3309438908
Minimum-0.95417313
Maximum1
Zeros0
Zeros (%)0.0%
Negative961
Negative (%)13.1%
Memory size57.6 KiB
2025-03-02T10:03:28.919410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.95417313
5-th percentile-0.1477812645
Q10.12700047
median0.327327795
Q30.531600065
95-th percentile0.8520259095
Maximum1
Range1.95417313
Interquartile range (IQR)0.404599595

Descriptive statistics

Standard deviation0.2991301603
Coefficient of variation (CV)0.9038697151
Kurtosis-0.05218702422
Mean0.3309438908
Median Absolute Deviation (MAD)0.20235145
Skewness-0.08616749801
Sum2433.099485
Variance0.08947885282
MonotonicityNot monotonic
2025-03-02T10:03:28.968702image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72086167 1
 
< 0.1%
0.71623858 1
 
< 0.1%
0.75404614 1
 
< 0.1%
0.42926828 1
 
< 0.1%
0.71223888 1
 
< 0.1%
0.76936878 1
 
< 0.1%
0.71013082 1
 
< 0.1%
0.33277613 1
 
< 0.1%
0.33011854 1
 
< 0.1%
0.33553124 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.95417313 1
< 0.1%
-0.94909655 1
< 0.1%
-0.93949817 1
< 0.1%
-0.84726896 1
< 0.1%
-0.72512656 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99719352 1
< 0.1%
0.99487703 1
< 0.1%
0.9945393 1
< 0.1%
0.99439706 1
< 0.1%

tGravityAcc-arCoeff()-Y,3
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3603787578
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6577
Negative (%)89.5%
Memory size57.6 KiB
2025-03-02T10:03:29.015726image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8595944735
Q1-0.5557126575
median-0.360195245
Q3-0.169709245
95-th percentile0.1221379265
Maximum1
Range2
Interquartile range (IQR)0.3860034125

Descriptive statistics

Standard deviation0.291817423
Coefficient of variation (CV)-0.8097520086
Kurtosis0.09437160827
Mean-0.3603787578
Median Absolute Deviation (MAD)0.193576985
Skewness0.1907930552
Sum-2649.504627
Variance0.08515740837
MonotonicityNot monotonic
2025-03-02T10:03:29.064278image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.36288236 2
 
< 0.1%
-0.71237239 1
 
< 0.1%
-0.15075247 1
 
< 0.1%
-0.43238416 1
 
< 0.1%
-0.76153072 1
 
< 0.1%
-0.82042982 1
 
< 0.1%
-0.75182437 1
 
< 0.1%
-0.32876565 1
 
< 0.1%
-0.32360508 1
 
< 0.1%
-0.37483889 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9979695 1
< 0.1%
-0.99500217 1
< 0.1%
-0.99456875 1
< 0.1%
-0.99443593 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99342196 1
< 0.1%
0.94837187 1
< 0.1%
0.84844311 1
< 0.1%
0.73198811 1
< 0.1%

tGravityAcc-arCoeff()-Y,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4073535809
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative590
Negative (%)8.0%
Memory size57.6 KiB
2025-03-02T10:03:29.111127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.07827573975
Q10.2267369075
median0.419605705
Q30.60306111
95-th percentile0.8674935185
Maximum1
Range2
Interquartile range (IQR)0.3763242025

Descriptive statistics

Standard deviation0.2834103817
Coefficient of variation (CV)0.6957355845
Kurtosis0.2249922667
Mean0.4073535809
Median Absolute Deviation (MAD)0.187848415
Skewness-0.3452152223
Sum2994.863526
Variance0.08032144444
MonotonicityNot monotonic
2025-03-02T10:03:29.158472image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.71130003 1
 
< 0.1%
0.7307354 1
 
< 0.1%
0.76408966 1
 
< 0.1%
0.44999546 1
 
< 0.1%
0.81923443 1
 
< 0.1%
0.87836846 1
 
< 0.1%
0.80170004 1
 
< 0.1%
0.34264332 1
 
< 0.1%
0.33505066 1
 
< 0.1%
0.43266634 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.98135745 1
< 0.1%
-0.90556747 1
< 0.1%
-0.79962501 1
< 0.1%
-0.70141375 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99883407 1
< 0.1%
0.99739549 1
< 0.1%
0.99564443 1
< 0.1%
0.99556242 1
< 0.1%

tGravityAcc-arCoeff()-Z,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4311496478
Minimum-1
Maximum0.64877436
Zeros0
Zeros (%)0.0%
Negative6957
Negative (%)94.6%
Memory size57.6 KiB
2025-03-02T10:03:29.282298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8907880135
Q1-0.62283365
median-0.42957458
Q3-0.24771932
95-th percentile0.006918474495
Maximum0.64877436
Range1.64877436
Interquartile range (IQR)0.37511433

Descriptive statistics

Standard deviation0.2699113642
Coefficient of variation (CV)-0.6260271013
Kurtosis-0.2214019781
Mean-0.4311496478
Median Absolute Deviation (MAD)0.18788523
Skewness0.1392137449
Sum-3169.812211
Variance0.07285214455
MonotonicityNot monotonic
2025-03-02T10:03:29.327201image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99511159 1
 
< 0.1%
-0.72239139 1
 
< 0.1%
-0.73037698 1
 
< 0.1%
-0.5505467 1
 
< 0.1%
-0.5123671 1
 
< 0.1%
-0.71894608 1
 
< 0.1%
-0.5677927 1
 
< 0.1%
-0.49700862 1
 
< 0.1%
-0.57005834 1
 
< 0.1%
-0.31556182 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99890322 1
< 0.1%
-0.9985746 1
< 0.1%
-0.99788701 1
< 0.1%
-0.99759047 1
< 0.1%
ValueCountFrequency (%)
0.64877436 1
< 0.1%
0.56454121 1
< 0.1%
0.54575488 1
< 0.1%
0.53688118 1
< 0.1%
0.51559237 1
< 0.1%

tGravityAcc-arCoeff()-Z,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4562906715
Minimum-0.61763642
Maximum1
Zeros0
Zeros (%)0.0%
Negative283
Negative (%)3.8%
Memory size57.6 KiB
2025-03-02T10:03:29.371228image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.61763642
5-th percentile0.0360910228
Q10.2777706175
median0.4526727
Q30.645044915
95-th percentile0.896867031
Maximum1
Range1.61763642
Interquartile range (IQR)0.3672742975

Descriptive statistics

Standard deviation0.2602821341
Coefficient of variation (CV)0.5704305398
Kurtosis-0.2259374731
Mean0.4562906715
Median Absolute Deviation (MAD)0.183896165
Skewness-0.1430138075
Sum3354.649017
Variance0.06774678931
MonotonicityNot monotonic
2025-03-02T10:03:29.418420image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.99567491 1
 
< 0.1%
0.72243232 1
 
< 0.1%
0.7333011 1
 
< 0.1%
0.56712276 1
 
< 0.1%
0.53188933 1
 
< 0.1%
0.73164065 1
 
< 0.1%
0.59557434 1
 
< 0.1%
0.50067847 1
 
< 0.1%
0.57277503 1
 
< 0.1%
0.31985627 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.61763642 1
< 0.1%
-0.53936547 1
< 0.1%
-0.52307971 1
< 0.1%
-0.5182228 1
< 0.1%
-0.47837503 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99917535 1
< 0.1%
0.9984991 1
< 0.1%
0.99842317 1
< 0.1%
0.99797984 1
< 0.1%

tGravityAcc-arCoeff()-Z,3
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4808295545
Minimum-1
Maximum0.58576939
Zeros0
Zeros (%)0.0%
Negative7139
Negative (%)97.1%
Memory size57.6 KiB
2025-03-02T10:03:29.465161image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9054068655
Q1-0.6666684125
median-0.47965776
Q3-0.3046331625
95-th percentile-0.0722588676
Maximum0.58576939
Range1.58576939
Interquartile range (IQR)0.36203525

Descriptive statistics

Standard deviation0.2534206786
Coefficient of variation (CV)-0.527048881
Kurtosis-0.2113975701
Mean-0.4808295545
Median Absolute Deviation (MAD)0.180614965
Skewness0.1778428468
Sum-3535.058885
Variance0.06422204037
MonotonicityNot monotonic
2025-03-02T10:03:29.512131image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.28376771 2
 
< 0.1%
-0.99566759 1
 
< 0.1%
-0.94997211 1
 
< 0.1%
-0.73569606 1
 
< 0.1%
-0.58334544 1
 
< 0.1%
-0.55139199 1
 
< 0.1%
-0.74411567 1
 
< 0.1%
-0.62352191 1
 
< 0.1%
-0.50414948 1
 
< 0.1%
-0.57516245 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99996296 1
< 0.1%
-0.9994173 1
< 0.1%
-0.99920661 1
< 0.1%
-0.99828155 1
< 0.1%
ValueCountFrequency (%)
0.58576939 1
< 0.1%
0.54216114 1
< 0.1%
0.5233585 1
< 0.1%
0.48577322 1
< 0.1%
0.4415888 1
< 0.1%

tGravityAcc-arCoeff()-Z,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5021219577
Minimum-0.55400018
Maximum1
Zeros0
Zeros (%)0.0%
Negative179
Negative (%)2.4%
Memory size57.6 KiB
2025-03-02T10:03:29.559276image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.55400018
5-th percentile0.09263480255
Q10.3295627875
median0.50437557
Q30.686618885
95-th percentile0.9078290565
Maximum1
Range1.55400018
Interquartile range (IQR)0.3570560975

Descriptive statistics

Standard deviation0.2491107024
Coefficient of variation (CV)0.4961159308
Kurtosis-0.1979965698
Mean0.5021219577
Median Absolute Deviation (MAD)0.1786287
Skewness-0.2348442117
Sum3691.600633
Variance0.06205614206
MonotonicityNot monotonic
2025-03-02T10:03:29.606987image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.99165268 1
 
< 0.1%
0.71809241 1
 
< 0.1%
0.73456136 1
 
< 0.1%
0.59642243 1
 
< 0.1%
0.56813128 1
 
< 0.1%
0.75332121 1
 
< 0.1%
0.64873692 1
 
< 0.1%
0.50482124 1
 
< 0.1%
0.57449998 1
 
< 0.1%
0.32527956 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.55400018 1
< 0.1%
-0.54604912 1
< 0.1%
-0.52946597 1
< 0.1%
-0.45374472 1
< 0.1%
-0.42099273 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99743111 1
< 0.1%
0.99522524 1
< 0.1%
0.99481018 1
< 0.1%
0.99457473 1
< 0.1%

tGravityAcc-correlation()-X,Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1868091739
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative2792
Negative (%)38.0%
Memory size57.6 KiB
2025-03-02T10:03:29.655064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9663400635
Q1-0.469415355
median0.393030655
Q30.84505333
95-th percentile0.986324676
Maximum1
Range2
Interquartile range (IQR)1.314468685

Descriptive statistics

Standard deviation0.6966361487
Coefficient of variation (CV)3.729132431
Kurtosis-1.331755237
Mean0.1868091739
Median Absolute Deviation (MAD)0.534955485
Skewness-0.4243308753
Sum1373.421047
Variance0.4853019237
MonotonicityNot monotonic
2025-03-02T10:03:29.701607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.57022164 1
 
< 0.1%
0.99361215 1
 
< 0.1%
0.97482274 1
 
< 0.1%
0.75551112 1
 
< 0.1%
0.86095663 1
 
< 0.1%
0.98007454 1
 
< 0.1%
0.90615554 1
 
< 0.1%
0.97565508 1
 
< 0.1%
0.96919594 1
 
< 0.1%
0.98498432 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99995776 1
< 0.1%
-0.99993871 1
< 0.1%
-0.99975912 1
< 0.1%
-0.9996544 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99992974 1
< 0.1%
0.9999117 1
< 0.1%
0.99988022 1
< 0.1%
0.99987137 1
< 0.1%

tGravityAcc-correlation()-X,Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1052768273
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4123
Negative (%)56.1%
Memory size57.6 KiB
2025-03-02T10:03:29.748348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.988774369
Q1-0.8086217875
median-0.21693637
Q30.5965440325
95-th percentile0.968602382
Maximum1
Range2
Interquartile range (IQR)1.40516582

Descriptive statistics

Standard deviation0.7077240103
Coefficient of variation (CV)-6.722505114
Kurtosis-1.489917419
Mean-0.1052768273
Median Absolute Deviation (MAD)0.662761285
Skewness0.212227733
Sum-773.9952346
Variance0.5008732747
MonotonicityNot monotonic
2025-03-02T10:03:29.794654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.43902735 1
 
< 0.1%
0.9995493 1
 
< 0.1%
0.99281975 1
 
< 0.1%
0.98324054 1
 
< 0.1%
0.98503694 1
 
< 0.1%
0.99991411 1
 
< 0.1%
0.99862764 1
 
< 0.1%
0.99945462 1
 
< 0.1%
0.99099238 1
 
< 0.1%
0.999447 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99997942 1
< 0.1%
-0.99993986 1
< 0.1%
-0.99990857 1
< 0.1%
-0.99988284 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9999962 1
< 0.1%
0.99991411 1
< 0.1%
0.99977249 1
< 0.1%
0.99975276 1
< 0.1%
Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08867060948
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3266
Negative (%)44.4%
Memory size57.6 KiB
2025-03-02T10:03:29.840825image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9807113745
Q1-0.6066863675
median0.185180445
Q30.78450929
95-th percentile0.9824419045
Maximum1
Range2
Interquartile range (IQR)1.391195657

Descriptive statistics

Standard deviation0.7041615302
Coefficient of variation (CV)7.941318261
Kurtosis-1.472691419
Mean0.08867060948
Median Absolute Deviation (MAD)0.666943105
Skewness-0.1974587611
Sum651.9063209
Variance0.4958434607
MonotonicityNot monotonic
2025-03-02T10:03:29.887747image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99707523 2
 
< 0.1%
0.98691312 1
 
< 0.1%
-0.016157642 1
 
< 0.1%
0.99179433 1
 
< 0.1%
0.84730576 1
 
< 0.1%
0.76267974 1
 
< 0.1%
0.98167344 1
 
< 0.1%
0.91027382 1
 
< 0.1%
0.97994981 1
 
< 0.1%
0.97624349 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999945 1
< 0.1%
-0.99996961 1
< 0.1%
-0.99996958 1
< 0.1%
-0.99991522 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99998309 1
< 0.1%
0.99996128 1
< 0.1%
0.99985925 1
< 0.1%
0.9997928 1
< 0.1%

tBodyAccJerk-mean()-X
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07912588086
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1231
Negative (%)16.7%
Memory size57.6 KiB
2025-03-02T10:03:29.935056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2351132395
Q10.0635835075
median0.0759870325
Q30.09102462275
95-th percentile0.4076918865
Maximum1
Range2
Interquartile range (IQR)0.02744111525

Descriptive statistics

Standard deviation0.1809201461
Coefficient of variation (CV)2.286485081
Kurtosis4.643347088
Mean0.07912588086
Median Absolute Deviation (MAD)0.013579963
Skewness0.1093498178
Sum581.7334761
Variance0.03273209925
MonotonicityNot monotonic
2025-03-02T10:03:29.984091image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.077996345 1
 
< 0.1%
0.062995899 1
 
< 0.1%
0.089065704 1
 
< 0.1%
0.065710402 1
 
< 0.1%
0.065461135 1
 
< 0.1%
0.070925137 1
 
< 0.1%
0.075123803 1
 
< 0.1%
0.074815053 1
 
< 0.1%
0.087721118 1
 
< 0.1%
0.082706109 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.79923655 1
< 0.1%
-0.77679071 1
< 0.1%
-0.74726611 1
< 0.1%
-0.7439812 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98120238 1
< 0.1%
0.98074487 1
< 0.1%
0.96508845 1
< 0.1%
0.94027888 1
< 0.1%

tBodyAccJerk-mean()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008555454329
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative2318
Negative (%)31.5%
Memory size57.6 KiB
2025-03-02T10:03:30.031089image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.272641799
Q1-0.01673511475
median0.0107490625
Q30.03251669725
95-th percentile0.288375105
Maximum1
Range2
Interquartile range (IQR)0.049251812

Descriptive statistics

Standard deviation0.1637067804
Coefficient of variation (CV)19.13478515
Kurtosis4.774073393
Mean0.008555454329
Median Absolute Deviation (MAD)0.0239512775
Skewness0.002749309686
Sum62.89970023
Variance0.02679990996
MonotonicityNot monotonic
2025-03-02T10:03:30.079351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0050008031 1
 
< 0.1%
0.010075235 1
 
< 0.1%
0.0097507732 1
 
< 0.1%
-0.013042037 1
 
< 0.1%
-0.0034955204 1
 
< 0.1%
0.0068404538 1
 
< 0.1%
0.040584469 1
 
< 0.1%
0.024304788 1
 
< 0.1%
0.0077508628 1
 
< 0.1%
0.010188156 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.94741188 1
< 0.1%
-0.93249205 1
< 0.1%
-0.82715822 1
< 0.1%
-0.8184245 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86385241 1
< 0.1%
0.85416813 1
< 0.1%
0.83517154 1
< 0.1%
0.82356306 1
< 0.1%

tBodyAccJerk-mean()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.004693133728
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3836
Negative (%)52.2%
Memory size57.6 KiB
2025-03-02T10:03:30.126227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2781695515
Q1-0.03083995925
median-0.00113861745
Q30.0247937865
95-th percentile0.256783405
Maximum1
Range2
Interquartile range (IQR)0.05563374575

Descriptive statistics

Standard deviation0.1599096309
Coefficient of variation (CV)-34.07310344
Kurtosis5.458616231
Mean-0.004693133728
Median Absolute Deviation (MAD)0.02753642245
Skewness-0.08493225337
Sum-34.50391917
Variance0.02557109007
MonotonicityNot monotonic
2025-03-02T10:03:30.173391image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.067830808 1
 
< 0.1%
-0.0094966035 1
 
< 0.1%
0.0069982709 1
 
< 0.1%
-0.036611913 1
 
< 0.1%
-0.022476509 1
 
< 0.1%
-0.030345093 1
 
< 0.1%
0.014536913 1
 
< 0.1%
0.010082192 1
 
< 0.1%
0.036331494 1
 
< 0.1%
0.013188122 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.94305695 1
< 0.1%
-0.90116699 1
< 0.1%
-0.89868801 1
< 0.1%
-0.872717 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8349103 1
< 0.1%
0.82036748 1
< 0.1%
0.81830732 1
< 0.1%
0.80595569 1
< 0.1%

tBodyAccJerk-std()-X
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6435540611
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6759
Negative (%)91.9%
Memory size57.6 KiB
2025-03-02T10:03:30.219751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996295007
Q1-0.991727405
median-0.958659125
Q3-0.287702835
95-th percentile0.08406070685
Maximum1
Range2
Interquartile range (IQR)0.70402457

Descriptive statistics

Standard deviation0.4118522514
Coefficient of variation (CV)-0.6399652745
Kurtosis-0.8106964801
Mean-0.6435540611
Median Absolute Deviation (MAD)0.038031565
Skewness0.7072507875
Sum-4731.409457
Variance0.169622277
MonotonicityNot monotonic
2025-03-02T10:03:30.267355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9965876 2
 
< 0.1%
-0.98958299 2
 
< 0.1%
-0.99588561 2
 
< 0.1%
-0.99111107 2
 
< 0.1%
-0.99377676 2
 
< 0.1%
-0.99173939 1
 
< 0.1%
-0.98558679 1
 
< 0.1%
-0.98150062 1
 
< 0.1%
-0.97203085 1
 
< 0.1%
-0.96467425 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99972267 1
< 0.1%
-0.99959039 1
< 0.1%
-0.99945272 1
< 0.1%
-0.99936585 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.91571995 1
< 0.1%
0.78913802 1
< 0.1%
0.77372796 1
< 0.1%
0.761382 1
< 0.1%

tBodyAccJerk-std()-Y
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6106554943
Minimum-1
Maximum0.80707793
Zeros0
Zeros (%)0.0%
Negative6564
Negative (%)89.3%
Memory size57.6 KiB
2025-03-02T10:03:30.313463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.992685688
Q1-0.986193015
median-0.93157995
Q3-0.2166557
95-th percentile0.140115583
Maximum0.80707793
Range1.80707793
Interquartile range (IQR)0.769537315

Descriptive statistics

Standard deviation0.4336642545
Coefficient of variation (CV)-0.710161881
Kurtosis-1.065202622
Mean-0.6106554943
Median Absolute Deviation (MAD)0.061585395
Skewness0.6273905402
Sum-4489.539194
Variance0.1880646856
MonotonicityNot monotonic
2025-03-02T10:03:30.359754image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99355063 2
 
< 0.1%
-0.98835999 1
 
< 0.1%
-0.97092827 1
 
< 0.1%
-0.96699029 1
 
< 0.1%
-0.96769586 1
 
< 0.1%
-0.95692673 1
 
< 0.1%
-0.94389463 1
 
< 0.1%
-0.94521363 1
 
< 0.1%
-0.95708277 1
 
< 0.1%
-0.97312634 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99769223 1
< 0.1%
-0.99765108 1
< 0.1%
-0.99758064 1
< 0.1%
-0.99752765 1
< 0.1%
ValueCountFrequency (%)
0.80707793 1
< 0.1%
0.76925297 1
< 0.1%
0.71822939 1
< 0.1%
0.70175837 1
< 0.1%
0.66039069 1
< 0.1%

tBodyAccJerk-std()-Z
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7604713391
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7220
Negative (%)98.2%
Memory size57.6 KiB
2025-03-02T10:03:30.405372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.994422152
Q1-0.98961826
median-0.95885228
Q3-0.54464459
95-th percentile-0.2235705995
Maximum1
Range2
Interquartile range (IQR)0.44497367

Descriptive statistics

Standard deviation0.2873816813
Coefficient of variation (CV)-0.3778994244
Kurtosis0.7168422269
Mean-0.7604713391
Median Absolute Deviation (MAD)0.036046535
Skewness1.123401431
Sum-5590.985285
Variance0.08258823076
MonotonicityNot monotonic
2025-03-02T10:03:30.453241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99273011 2
 
< 0.1%
-0.99484754 2
 
< 0.1%
-0.99357497 1
 
< 0.1%
-0.9790732 1
 
< 0.1%
-0.95507029 1
 
< 0.1%
-0.94024382 1
 
< 0.1%
-0.94968017 1
 
< 0.1%
-0.97848195 1
 
< 0.1%
-0.97541563 1
 
< 0.1%
-0.98015398 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99975461 1
< 0.1%
-0.99958764 1
< 0.1%
-0.9995255 1
< 0.1%
-0.99945248 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.81812581 1
< 0.1%
0.53776441 1
< 0.1%
0.49182763 1
< 0.1%
0.46745998 1
< 0.1%

tBodyAccJerk-mad()-X
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6399690085
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6723
Negative (%)91.4%
Memory size57.6 KiB
2025-03-02T10:03:30.582028image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996425967
Q1-0.99171702
median-0.963264835
Q3-0.2789222925
95-th percentile0.0958821784
Maximum1
Range2
Interquartile range (IQR)0.7127947275

Descriptive statistics

Standard deviation0.417645324
Coefficient of variation (CV)-0.6526024205
Kurtosis-0.8142674723
Mean-0.6399690085
Median Absolute Deviation (MAD)0.03348432
Skewness0.7063235196
Sum-4705.05215
Variance0.1744276166
MonotonicityNot monotonic
2025-03-02T10:03:30.629598image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99090168 2
 
< 0.1%
-0.9947997 2
 
< 0.1%
-0.99533684 2
 
< 0.1%
-0.99035902 2
 
< 0.1%
-0.97389731 1
 
< 0.1%
-0.97053597 1
 
< 0.1%
-0.97762142 1
 
< 0.1%
-0.98157187 1
 
< 0.1%
-0.98336991 1
 
< 0.1%
-0.99166853 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99997646 1
< 0.1%
-0.99995178 1
< 0.1%
-0.9998235 1
< 0.1%
-0.99970123 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99449476 1
< 0.1%
0.84141985 1
< 0.1%
0.81679952 1
< 0.1%
0.80675689 1
< 0.1%

tBodyAccJerk-mad()-Y
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5951391795
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6418
Negative (%)87.3%
Memory size57.6 KiB
2025-03-02T10:03:30.675165image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9914031745
Q1-0.984519515
median-0.9351614
Q3-0.1814737775
95-th percentile0.169251011
Maximum1
Range2
Interquartile range (IQR)0.8030457375

Descriptive statistics

Standard deviation0.4499902732
Coefficient of variation (CV)-0.7561093081
Kurtosis-1.088455293
Mean-0.5951391795
Median Absolute Deviation (MAD)0.05668185
Skewness0.6128195697
Sum-4375.463248
Variance0.202491246
MonotonicityNot monotonic
2025-03-02T10:03:30.725074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.50198078 2
 
< 0.1%
-0.98620664 1
 
< 0.1%
-0.98067683 1
 
< 0.1%
-0.96594836 1
 
< 0.1%
-0.95763314 1
 
< 0.1%
-0.94285472 1
 
< 0.1%
-0.94287155 1
 
< 0.1%
-0.95460556 1
 
< 0.1%
-0.97184133 1
 
< 0.1%
-0.97923466 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99707242 1
< 0.1%
-0.9969145 1
< 0.1%
-0.99689105 1
< 0.1%
-0.99683982 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92549969 1
< 0.1%
0.8001797 1
< 0.1%
0.7897657 1
< 0.1%
0.77002888 1
< 0.1%

tBodyAccJerk-mad()-Z
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7542653462
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7203
Negative (%)98.0%
Memory size57.6 KiB
2025-03-02T10:03:30.772954image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9936408595
Q1-0.9884264175
median-0.95886115
Q3-0.5315496175
95-th percentile-0.211832736
Maximum1
Range2
Interquartile range (IQR)0.4568768

Descriptive statistics

Standard deviation0.2934354947
Coefficient of variation (CV)-0.3890348353
Kurtosis0.7133310639
Mean-0.7542653462
Median Absolute Deviation (MAD)0.03532239
Skewness1.113089571
Sum-5545.358825
Variance0.08610438954
MonotonicityNot monotonic
2025-03-02T10:03:30.820682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98908412 2
 
< 0.1%
-0.985166 2
 
< 0.1%
-0.98704871 2
 
< 0.1%
-0.98168559 1
 
< 0.1%
-0.98706347 1
 
< 0.1%
-0.94737157 1
 
< 0.1%
-0.95716467 1
 
< 0.1%
-0.97439276 1
 
< 0.1%
-0.97320444 1
 
< 0.1%
-0.97955966 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99959108 1
< 0.1%
-0.99936102 1
< 0.1%
-0.99917021 1
< 0.1%
-0.9991415 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96029431 1
< 0.1%
0.65049995 1
< 0.1%
0.58956008 1
< 0.1%
0.47987764 1
< 0.1%

tBodyAccJerk-max()-X
Real number (ℝ)

Distinct5272
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7003228176
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6934
Negative (%)94.3%
Memory size57.6 KiB
2025-03-02T10:03:30.866705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996912981
Q1-0.99208484
median-0.953763875
Q3-0.4647125275
95-th percentile0.03047424425
Maximum1
Range2
Interquartile range (IQR)0.5273723125

Descriptive statistics

Standard deviation0.3664262145
Coefficient of variation (CV)-0.5232247261
Kurtosis0.511286751
Mean-0.7003228176
Median Absolute Deviation (MAD)0.043444785
Skewness1.117228374
Sum-5148.773355
Variance0.1342681706
MonotonicityNot monotonic
2025-03-02T10:03:30.915333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99704715 3
 
< 0.1%
-0.98734716 3
 
< 0.1%
-0.96819577 2
 
< 0.1%
-0.99436309 2
 
< 0.1%
-0.42904906 2
 
< 0.1%
-0.17188447 2
 
< 0.1%
-0.30060474 2
 
< 0.1%
-0.45092035 2
 
< 0.1%
-0.96073906 2
 
< 0.1%
-0.9923781 2
 
< 0.1%
Other values (5262) 7330
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999011 2
< 0.1%
-0.99971029 1
< 0.1%
-0.99968012 1
< 0.1%
-0.99966628 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.76588375 2
< 0.1%
0.76009444 2
< 0.1%
0.74288169 2
< 0.1%
0.72324421 2
< 0.1%

tBodyAccJerk-max()-Y
Real number (ℝ)

Distinct5249
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7507432155
Minimum-1
Maximum0.62437285
Zeros0
Zeros (%)0.0%
Negative7245
Negative (%)98.5%
Memory size57.6 KiB
2025-03-02T10:03:30.960568image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99608917
Q1-0.99093358
median-0.94606578
Q3-0.5336865
95-th percentile-0.201158786
Maximum0.62437285
Range1.62437285
Interquartile range (IQR)0.45724708

Descriptive statistics

Standard deviation0.2912349763
Coefficient of variation (CV)-0.387928882
Kurtosis0.2731859077
Mean-0.7507432155
Median Absolute Deviation (MAD)0.050376505
Skewness1.003530594
Sum-5519.46412
Variance0.0848178114
MonotonicityNot monotonic
2025-03-02T10:03:31.007109image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9920126 4
 
0.1%
-0.34558649 3
 
< 0.1%
-0.98891159 2
 
< 0.1%
-0.99138037 2
 
< 0.1%
-0.9890233 2
 
< 0.1%
-0.95965945 2
 
< 0.1%
-0.60337082 2
 
< 0.1%
-0.44800278 2
 
< 0.1%
-0.94465937 2
 
< 0.1%
-0.97794454 2
 
< 0.1%
Other values (5239) 7329
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99983996 1
< 0.1%
-0.99966022 1
< 0.1%
-0.99965535 1
< 0.1%
-0.99957254 1
< 0.1%
ValueCountFrequency (%)
0.62437285 2
< 0.1%
0.60765098 2
< 0.1%
0.57311223 2
< 0.1%
0.47129869 2
< 0.1%
0.45270212 1
< 0.1%

tBodyAccJerk-max()-Z
Real number (ℝ)

Distinct5210
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8182969771
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7291
Negative (%)99.2%
Memory size57.6 KiB
2025-03-02T10:03:31.055011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995024167
Q1-0.99006906
median-0.96015792
Q3-0.681101805
95-th percentile-0.37636382
Maximum1
Range2
Interquartile range (IQR)0.308967255

Descriptive statistics

Standard deviation0.2289576305
Coefficient of variation (CV)-0.2797977224
Kurtosis3.029713295
Mean-0.8182969771
Median Absolute Deviation (MAD)0.035244565
Skewness1.58107131
Sum-6016.119376
Variance0.05242159656
MonotonicityNot monotonic
2025-03-02T10:03:31.103024image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98121763 2
 
< 0.1%
-0.48002803 2
 
< 0.1%
-0.75296707 2
 
< 0.1%
-0.99056835 2
 
< 0.1%
-0.98424229 2
 
< 0.1%
-0.85008594 2
 
< 0.1%
-0.98602797 2
 
< 0.1%
-0.93898834 2
 
< 0.1%
-0.99151835 2
 
< 0.1%
-0.99116493 2
 
< 0.1%
Other values (5200) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99935317 1
< 0.1%
-0.99922139 1
< 0.1%
-0.99914395 1
< 0.1%
-0.99889265 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.46704035 2
< 0.1%
0.39491357 1
< 0.1%
0.35522631 2
< 0.1%
0.32034303 2
< 0.1%

tBodyAccJerk-min()-X
Real number (ℝ)

Distinct5282
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.623609659
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative735
Negative (%)10.0%
Memory size57.6 KiB
2025-03-02T10:03:31.149666image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.13890111
Q10.25287398
median0.94563393
Q30.99024304
95-th percentile0.995721295
Maximum1
Range2
Interquartile range (IQR)0.73736906

Descriptive statistics

Standard deviation0.4330706243
Coefficient of variation (CV)0.694457852
Kurtosis-0.7223539878
Mean0.623609659
Median Absolute Deviation (MAD)0.05055623
Skewness-0.7382571495
Sum4584.778213
Variance0.1875501656
MonotonicityNot monotonic
2025-03-02T10:03:31.197980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.9924158 3
 
< 0.1%
0.99131802 2
 
< 0.1%
0.99480621 2
 
< 0.1%
0.98124878 2
 
< 0.1%
0.25353177 2
 
< 0.1%
0.29129694 2
 
< 0.1%
0.21906671 2
 
< 0.1%
0.35529247 2
 
< 0.1%
0.24747286 2
 
< 0.1%
0.34000175 2
 
< 0.1%
Other values (5272) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.88201141 2
< 0.1%
-0.87937195 1
< 0.1%
-0.87060829 2
< 0.1%
-0.86574739 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99978517 1
< 0.1%
0.99954539 1
< 0.1%
0.9991196 1
< 0.1%
0.99891926 1
< 0.1%

tBodyAccJerk-min()-Y
Real number (ℝ)

Distinct5236
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6881804705
Minimum-0.74690717
Maximum1
Zeros0
Zeros (%)0.0%
Negative317
Negative (%)4.3%
Memory size57.6 KiB
2025-03-02T10:03:31.243261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.74690717
5-th percentile0.03222151855
Q10.40329969
median0.940797085
Q30.989424955
95-th percentile0.99547465
Maximum1
Range1.74690717
Interquartile range (IQR)0.586125265

Descriptive statistics

Standard deviation0.3578861745
Coefficient of variation (CV)0.5200469788
Kurtosis-0.3700771399
Mean0.6881804705
Median Absolute Deviation (MAD)0.05514079
Skewness-0.8434377081
Sum5059.502819
Variance0.1280825139
MonotonicityNot monotonic
2025-03-02T10:03:31.289777image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.99532605 3
 
< 0.1%
0.98083568 2
 
< 0.1%
0.99473401 2
 
< 0.1%
0.97347839 2
 
< 0.1%
0.95161668 2
 
< 0.1%
0.96824892 2
 
< 0.1%
0.98399041 2
 
< 0.1%
0.98135798 2
 
< 0.1%
0.99214909 2
 
< 0.1%
0.9948382 2
 
< 0.1%
Other values (5226) 7331
99.7%
ValueCountFrequency (%)
-0.74690717 2
< 0.1%
-0.73407546 2
< 0.1%
-0.65611312 2
< 0.1%
-0.6396438 2
< 0.1%
-0.61022329 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99963172 1
< 0.1%
0.9993044 1
< 0.1%
0.99922057 1
< 0.1%
0.9990554 1
< 0.1%

tBodyAccJerk-min()-Z
Real number (ℝ)

Distinct5221
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7363690245
Minimum-1
Maximum0.99926934
Zeros0
Zeros (%)0.0%
Negative209
Negative (%)2.8%
Memory size57.6 KiB
2025-03-02T10:03:31.336576image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.1049105005
Q10.52530058
median0.94748983
Q30.987070205
95-th percentile0.993621399
Maximum0.99926934
Range1.99926934
Interquartile range (IQR)0.461769625

Descriptive statistics

Standard deviation0.3173924582
Coefficient of variation (CV)0.4310236412
Kurtosis0.7102117047
Mean0.7363690245
Median Absolute Deviation (MAD)0.04681231
Skewness-1.155029442
Sum5413.785068
Variance0.1007379725
MonotonicityNot monotonic
2025-03-02T10:03:31.385847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.97042361 2
 
< 0.1%
0.97179371 2
 
< 0.1%
0.98796856 2
 
< 0.1%
0.99021311 2
 
< 0.1%
0.98216912 2
 
< 0.1%
0.46735163 2
 
< 0.1%
0.97628414 2
 
< 0.1%
0.98851061 2
 
< 0.1%
0.98524628 2
 
< 0.1%
0.98646401 2
 
< 0.1%
Other values (5211) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.94651657 2
< 0.1%
-0.6688581 2
< 0.1%
-0.62217628 2
< 0.1%
-0.54633009 2
< 0.1%
ValueCountFrequency (%)
0.99926934 1
< 0.1%
0.99911083 1
< 0.1%
0.99908855 1
< 0.1%
0.99896811 1
< 0.1%
0.99887698 1
< 0.1%

tBodyAccJerk-sma()
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6477994667
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6934
Negative (%)94.3%
Memory size57.6 KiB
2025-03-02T10:03:31.432342image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9951448795
Q1-0.99028242
median-0.953247755
Q3-0.2833110375
95-th percentile0.01905763305
Maximum1
Range2
Interquartile range (IQR)0.7069713825

Descriptive statistics

Standard deviation0.3992870218
Coefficient of variation (CV)-0.6163744218
Kurtosis-0.9143978493
Mean-0.6477994667
Median Absolute Deviation (MAD)0.042242945
Skewness0.6506896668
Sum-4762.621679
Variance0.1594301257
MonotonicityNot monotonic
2025-03-02T10:03:31.480271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99063024 2
 
< 0.1%
-0.99352201 1
 
< 0.1%
-0.96186355 1
 
< 0.1%
-0.97402307 1
 
< 0.1%
-0.96774989 1
 
< 0.1%
-0.95915159 1
 
< 0.1%
-0.96139174 1
 
< 0.1%
-0.96928414 1
 
< 0.1%
-0.97289437 1
 
< 0.1%
-0.98354986 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99986342 1
< 0.1%
-0.99946484 1
< 0.1%
-0.99867907 1
< 0.1%
-0.99846716 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99770415 1
< 0.1%
0.88516869 1
< 0.1%
0.7451276 1
< 0.1%
0.71649215 1
< 0.1%

tBodyAccJerk-energy()-X
Real number (ℝ)

Distinct7109
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8504240879
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7309
Negative (%)99.4%
Memory size57.6 KiB
2025-03-02T10:03:31.526289image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999678645
Q1-0.999909355
median-0.9988536
Q3-0.74353215
95-th percentile-0.4096684005
Maximum1
Range2
Interquartile range (IQR)0.256377205

Descriptive statistics

Standard deviation0.2193198532
Coefficient of variation (CV)-0.2578946862
Kurtosis5.018992885
Mean-0.8504240879
Median Absolute Deviation (MAD)0.00112192
Skewness1.897575973
Sum-6252.317894
Variance0.04810119803
MonotonicityNot monotonic
2025-03-02T10:03:31.572787image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99996352 4
 
0.1%
-0.99994414 3
 
< 0.1%
-0.99993369 3
 
< 0.1%
-0.99995537 3
 
< 0.1%
-0.99996415 3
 
< 0.1%
-0.99991533 3
 
< 0.1%
-0.99992211 3
 
< 0.1%
-0.99994244 3
 
< 0.1%
-0.99990909 3
 
< 0.1%
-0.99995659 3
 
< 0.1%
Other values (7099) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999807 1
< 0.1%
-0.99999712 1
< 0.1%
-0.9999961 1
< 0.1%
-0.99999545 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.83239646 1
< 0.1%
0.59895976 1
< 0.1%
0.57180278 1
< 0.1%
0.54976314 1
< 0.1%

tBodyAccJerk-energy()-Y
Real number (ℝ)

Distinct7229
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8279885767
Minimum-1
Maximum0.63441522
Zeros0
Zeros (%)0.0%
Negative7296
Negative (%)99.2%
Memory size57.6 KiB
2025-03-02T10:03:31.617685image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999028135
Q1-0.999771335
median-0.99697823
Q3-0.6885577175
95-th percentile-0.3452636945
Maximum0.63441522
Range1.63441522
Interquartile range (IQR)0.3112136175

Descriptive statistics

Standard deviation0.2398858283
Coefficient of variation (CV)-0.2897211809
Kurtosis2.197089839
Mean-0.8279885767
Median Absolute Deviation (MAD)0.0029385
Skewness1.500950107
Sum-6087.372016
Variance0.0575452106
MonotonicityNot monotonic
2025-03-02T10:03:31.664112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99986439 3
 
< 0.1%
-0.9997316 3
 
< 0.1%
-0.99984962 3
 
< 0.1%
-0.99989963 3
 
< 0.1%
-0.99984221 3
 
< 0.1%
-0.99985126 2
 
< 0.1%
-0.99984482 2
 
< 0.1%
-0.99893393 2
 
< 0.1%
-0.99982883 2
 
< 0.1%
-0.99681106 2
 
< 0.1%
Other values (7219) 7327
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99997503 1
< 0.1%
-0.99997448 1
< 0.1%
-0.99997337 1
< 0.1%
-0.99997309 1
< 0.1%
ValueCountFrequency (%)
0.63441522 1
< 0.1%
0.56776817 1
< 0.1%
0.47854821 1
< 0.1%
0.45051615 1
< 0.1%
0.38210443 1
< 0.1%

tBodyAccJerk-energy()-Z
Real number (ℝ)

Distinct7196
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9274842214
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7345
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:31.794183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999019695
Q1-0.999792885
median-0.99854126
Q3-0.89107316
95-th percentile-0.691350007
Maximum1
Range2
Interquartile range (IQR)0.108719725

Descriptive statistics

Standard deviation0.127599513
Coefficient of variation (CV)-0.1375759393
Kurtosis20.15995071
Mean-0.9274842214
Median Absolute Deviation (MAD)0.00138296
Skewness3.372140389
Sum-6818.863996
Variance0.01628163571
MonotonicityNot monotonic
2025-03-02T10:03:31.841442image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99983585 4
 
0.1%
-0.99984704 3
 
< 0.1%
-0.99982081 3
 
< 0.1%
-0.99977781 3
 
< 0.1%
-0.99985578 3
 
< 0.1%
-0.99982863 3
 
< 0.1%
-0.99981451 3
 
< 0.1%
-0.99984907 3
 
< 0.1%
-0.99976044 3
 
< 0.1%
-0.99986886 3
 
< 0.1%
Other values (7186) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999624 1
< 0.1%
-0.99999381 1
< 0.1%
-0.99999267 1
< 0.1%
-0.99999176 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.65517611 1
< 0.1%
0.18758021 1
< 0.1%
0.11835161 1
< 0.1%
0.08245825 1
< 0.1%

tBodyAccJerk-iqr()-X
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6287982691
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6597
Negative (%)89.7%
Memory size57.6 KiB
2025-03-02T10:03:31.888204image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995526049
Q1-0.99030404
median-0.96733729
Q3-0.2632730475
95-th percentile0.153986918
Maximum1
Range2
Interquartile range (IQR)0.7270309925

Descriptive statistics

Standard deviation0.4359364999
Coefficient of variation (CV)-0.6932851461
Kurtosis-0.6716493064
Mean-0.6287982691
Median Absolute Deviation (MAD)0.028648105
Skewness0.7628031935
Sum-4622.924874
Variance0.1900406319
MonotonicityNot monotonic
2025-03-02T10:03:31.936926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99542576 2
 
< 0.1%
-0.99487742 2
 
< 0.1%
-0.99499183 2
 
< 0.1%
-0.97006109 2
 
< 0.1%
-0.99374206 2
 
< 0.1%
-0.99436404 1
 
< 0.1%
-0.99157177 1
 
< 0.1%
-0.99250597 1
 
< 0.1%
-0.99305398 1
 
< 0.1%
-0.98889679 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99992047 1
< 0.1%
-0.99986732 1
< 0.1%
-0.99968903 1
< 0.1%
-0.99954109 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96299661 1
< 0.1%
0.92813641 1
< 0.1%
0.90975996 1
< 0.1%
0.90312219 1
< 0.1%

tBodyAccJerk-iqr()-Y
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6577590591
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6994
Negative (%)95.1%
Memory size57.6 KiB
2025-03-02T10:03:31.983358image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.990883238
Q1-0.984445265
median-0.947832215
Q3-0.32181171
95-th percentile-0.00473006517
Maximum1
Range2
Interquartile range (IQR)0.662633555

Descriptive statistics

Standard deviation0.3834470315
Coefficient of variation (CV)-0.5829597118
Kurtosis-0.8118177977
Mean-0.6577590591
Median Absolute Deviation (MAD)0.043592085
Skewness0.6893692394
Sum-4835.844602
Variance0.147031626
MonotonicityNot monotonic
2025-03-02T10:03:32.031610image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98909088 2
 
< 0.1%
-0.98835922 2
 
< 0.1%
-0.98602487 1
 
< 0.1%
-0.98117105 1
 
< 0.1%
-0.9689909 1
 
< 0.1%
-0.9601794 1
 
< 0.1%
-0.94578618 1
 
< 0.1%
-0.95009796 1
 
< 0.1%
-0.96181231 1
 
< 0.1%
-0.97512868 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99742614 1
< 0.1%
-0.99717751 1
< 0.1%
-0.99684661 1
< 0.1%
-0.99668587 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87913296 1
< 0.1%
0.69387733 1
< 0.1%
0.66936767 1
< 0.1%
0.65259213 1
< 0.1%

tBodyAccJerk-iqr()-Z
Real number (ℝ)

Distinct7344
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7690412417
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7253
Negative (%)98.7%
Memory size57.6 KiB
2025-03-02T10:03:32.077009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.993346842
Q1-0.9867672275
median-0.9620173
Q3-0.5751826925
95-th percentile-0.252091347
Maximum1
Range2
Interquartile range (IQR)0.411584535

Descriptive statistics

Standard deviation0.2755364516
Coefficient of variation (CV)-0.3582856635
Kurtosis1.017204584
Mean-0.7690412417
Median Absolute Deviation (MAD)0.03189594
Skewness1.1698943
Sum-5653.991209
Variance0.07592033614
MonotonicityNot monotonic
2025-03-02T10:03:32.125259image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98923361 2
 
< 0.1%
-0.98465921 2
 
< 0.1%
-0.9869818 2
 
< 0.1%
-0.62433338 2
 
< 0.1%
-0.99087675 2
 
< 0.1%
-0.98642089 2
 
< 0.1%
-0.98966576 2
 
< 0.1%
-0.98826889 2
 
< 0.1%
-0.11437262 1
 
< 0.1%
-0.3292881 1
 
< 0.1%
Other values (7334) 7334
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999456 1
< 0.1%
-0.99984609 1
< 0.1%
-0.99970388 1
< 0.1%
-0.99955763 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86962404 1
< 0.1%
0.63425848 1
< 0.1%
0.43711215 1
< 0.1%
0.42699859 1
< 0.1%

tBodyAccJerk-entropy()-X
Real number (ℝ)

Distinct4130
Distinct (%)56.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09944071291
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4028
Negative (%)54.8%
Memory size57.6 KiB
2025-03-02T10:03:32.171549image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8507439
Q1-0.73721977
median-0.38600399
Q30.58958883
95-th percentile0.7483297515
Maximum1
Range2
Interquartile range (IQR)1.3268086

Descriptive statistics

Standard deviation0.6532593599
Coefficient of variation (CV)-6.569335042
Kurtosis-1.811624243
Mean-0.09944071291
Median Absolute Deviation (MAD)0.46473991
Skewness0.1359132037
Sum-731.0881213
Variance0.4267477913
MonotonicityNot monotonic
2025-03-02T10:03:32.219294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.81760141 125
 
1.7%
-0.82823515 124
 
1.7%
-0.80735107 113
 
1.5%
-0.83927424 110
 
1.5%
-0.77871779 94
 
1.3%
-0.79746479 92
 
1.3%
-0.78792545 90
 
1.2%
-0.86267325 86
 
1.2%
-0.8750964 85
 
1.2%
-0.8507439 77
 
1.0%
Other values (4120) 6356
86.5%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-0.98082252 5
 
0.1%
-0.96304373 10
0.1%
-0.9463887 7
0.1%
-0.93067589 16
0.2%
ValueCountFrequency (%)
1 1
< 0.1%
0.96001 1
< 0.1%
0.94854573 1
< 0.1%
0.93037982 1
< 0.1%
0.90809097 1
< 0.1%

tBodyAccJerk-entropy()-Y
Real number (ℝ)

Distinct4485
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09973540944
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4008
Negative (%)54.5%
Memory size57.6 KiB
2025-03-02T10:03:32.267860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.85895589
Q1-0.73894647
median-0.31909498
Q30.5704172375
95-th percentile0.7151842065
Maximum1
Range2
Interquartile range (IQR)1.309363708

Descriptive statistics

Standard deviation0.6371748393
Coefficient of variation (CV)-6.388652164
Kurtosis-1.800469237
Mean-0.09973540944
Median Absolute Deviation (MAD)0.53986091
Skewness0.09887885699
Sum-733.2547302
Variance0.4059917758
MonotonicityNot monotonic
2025-03-02T10:03:32.315421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.83690284 99
 
1.3%
-0.82645564 92
 
1.3%
-0.85895589 91
 
1.2%
-0.84773001 89
 
1.2%
-0.80663598 88
 
1.2%
-0.87060165 82
 
1.1%
-0.81637168 82
 
1.1%
-0.79723506 66
 
0.9%
-0.7881567 58
 
0.8%
-0.80343976 57
 
0.8%
Other values (4475) 6548
89.1%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-0.98279179 5
 
0.1%
-0.96647428 2
 
< 0.1%
-0.96592598 2
 
< 0.1%
-0.95094202 16
0.2%
ValueCountFrequency (%)
1 1
< 0.1%
0.92325606 1
< 0.1%
0.9094952 1
< 0.1%
0.90699998 1
< 0.1%
0.90284488 1
< 0.1%

tBodyAccJerk-entropy()-Z
Real number (ℝ)

Distinct4973
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1336599676
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4045
Negative (%)55.0%
Memory size57.6 KiB
2025-03-02T10:03:32.362312image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.82471931
Q1-0.72937532
median-0.426417405
Q30.4972906375
95-th percentile0.731117766
Maximum1
Range2
Interquartile range (IQR)1.226665958

Descriptive statistics

Standard deviation0.6142622652
Coefficient of variation (CV)-4.59570862
Kurtosis-1.735772378
Mean-0.1336599676
Median Absolute Deviation (MAD)0.398301905
Skewness0.2009035897
Sum-982.6680818
Variance0.3773181305
MonotonicityNot monotonic
2025-03-02T10:03:32.410308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.76089534 38
 
0.5%
-0.78522962 32
 
0.4%
-0.80680763 31
 
0.4%
-0.79832704 30
 
0.4%
-0.7939587 27
 
0.4%
-0.79015164 26
 
0.4%
-0.75700147 25
 
0.3%
-0.78300024 24
 
0.3%
-0.74613933 23
 
0.3%
-0.76738085 23
 
0.3%
Other values (4963) 7073
96.2%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.97911135 1
< 0.1%
-0.96426801 2
< 0.1%
-0.95318134 1
< 0.1%
-0.94247755 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9908571 1
< 0.1%
0.97718488 1
< 0.1%
0.97142891 1
< 0.1%
0.97131662 1
< 0.1%

tBodyAccJerk-arCoeff()-X,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1067251258
Minimum-0.97483758
Maximum1
Zeros0
Zeros (%)0.0%
Negative4373
Negative (%)59.5%
Memory size57.6 KiB
2025-03-02T10:03:32.456744image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.97483758
5-th percentile-0.573088467
Q1-0.357403125
median-0.11206709
Q30.1440491425
95-th percentile0.3576532905
Maximum1
Range1.97483758
Interquartile range (IQR)0.5014522675

Descriptive statistics

Standard deviation0.3019387338
Coefficient of variation (CV)-2.829125115
Kurtosis-0.8576583079
Mean-0.1067251258
Median Absolute Deviation (MAD)0.24976291
Skewness0.01314591808
Sum-784.6431248
Variance0.09116699897
MonotonicityNot monotonic
2025-03-02T10:03:32.505714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
-0.056578045 1
 
< 0.1%
-0.087290099 1
 
< 0.1%
0.34752931 1
 
< 0.1%
0.41464137 1
 
< 0.1%
0.040176302 1
 
< 0.1%
0.16538152 1
 
< 0.1%
0.015431833 1
 
< 0.1%
0.18433528 1
 
< 0.1%
0.19375928 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.97483758 1
< 0.1%
-0.89988013 1
< 0.1%
-0.89558847 1
< 0.1%
-0.8870265 1
< 0.1%
-0.8829952 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.88782478 1
< 0.1%
0.8824328 1
< 0.1%
0.85172553 1
< 0.1%
0.74262874 1
< 0.1%

tBodyAccJerk-arCoeff()-X,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1620356152
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1358
Negative (%)18.5%
Memory size57.6 KiB
2025-03-02T10:03:32.552570image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.1525252915
Q10.04055051175
median0.164998515
Q30.2843677075
95-th percentile0.466193388
Maximum1
Range2
Interquartile range (IQR)0.2438171957

Descriptive statistics

Standard deviation0.192404996
Coefficient of variation (CV)1.187424109
Kurtosis1.042758417
Mean0.1620356152
Median Absolute Deviation (MAD)0.121581372
Skewness-0.08598932727
Sum1191.285843
Variance0.03701968248
MonotonicityNot monotonic
2025-03-02T10:03:32.600641image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.22074703 1
 
< 0.1%
0.24735111 1
 
< 0.1%
0.34368349 1
 
< 0.1%
0.14394616 1
 
< 0.1%
0.050265611 1
 
< 0.1%
0.19866557 1
 
< 0.1%
0.20633383 1
 
< 0.1%
0.28897273 1
 
< 0.1%
-0.079385417 1
 
< 0.1%
-0.23287591 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.82440587 1
< 0.1%
-0.80149137 1
< 0.1%
-0.74138685 1
< 0.1%
-0.68039651 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95026846 1
< 0.1%
0.92442065 1
< 0.1%
0.91403614 1
< 0.1%
0.91121377 1
< 0.1%

tBodyAccJerk-arCoeff()-X,3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.063627006
Minimum-1
Maximum0.96457587
Zeros0
Zeros (%)0.0%
Negative2787
Negative (%)37.9%
Memory size57.6 KiB
2025-03-02T10:03:32.646326image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.35283403
Q1-0.08967734675
median0.073350577
Q30.2291946525
95-th percentile0.4391923025
Maximum0.96457587
Range1.96457587
Interquartile range (IQR)0.3188719992

Descriptive statistics

Standard deviation0.2407993336
Coefficient of variation (CV)3.78454604
Kurtosis0.1317660017
Mean0.063627006
Median Absolute Deviation (MAD)0.159659074
Skewness-0.225303597
Sum467.7857481
Variance0.05798431906
MonotonicityNot monotonic
2025-03-02T10:03:32.693815image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.63683075 1
 
< 0.1%
0.16570216 1
 
< 0.1%
0.27469666 1
 
< 0.1%
0.3276257 1
 
< 0.1%
0.2399371 1
 
< 0.1%
0.027181798 1
 
< 0.1%
0.18297926 1
 
< 0.1%
0.13327538 1
 
< 0.1%
0.16827792 1
 
< 0.1%
0.34880728 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.86799674 1
< 0.1%
-0.83629054 1
< 0.1%
-0.81780984 1
< 0.1%
-0.79350389 1
< 0.1%
ValueCountFrequency (%)
0.96457587 1
< 0.1%
0.87702965 1
< 0.1%
0.82084973 1
< 0.1%
0.80821095 1
< 0.1%
0.77784702 1
< 0.1%

tBodyAccJerk-arCoeff()-X,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1207224564
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1963
Negative (%)26.7%
Memory size57.6 KiB
2025-03-02T10:03:32.740791image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2019164785
Q1-0.00940579515
median0.12813225
Q30.2572659075
95-th percentile0.4213288535
Maximum1
Range2
Interquartile range (IQR)0.2666717027

Descriptive statistics

Standard deviation0.1942820102
Coefficient of variation (CV)1.609327842
Kurtosis0.2389563758
Mean0.1207224564
Median Absolute Deviation (MAD)0.1339799141
Skewness-0.201974071
Sum887.5514996
Variance0.03774549949
MonotonicityNot monotonic
2025-03-02T10:03:32.788160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.38764356 1
 
< 0.1%
-0.099072872 1
 
< 0.1%
-0.046511081 1
 
< 0.1%
0.18872735 1
 
< 0.1%
0.2039777 1
 
< 0.1%
0.26934331 1
 
< 0.1%
0.312564 1
 
< 0.1%
0.024793231 1
 
< 0.1%
0.068735977 1
 
< 0.1%
0.31031242 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.72146136 1
< 0.1%
-0.71156578 1
< 0.1%
-0.64613467 1
< 0.1%
-0.64378928 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9069035 1
< 0.1%
0.86421019 1
< 0.1%
0.73582633 1
< 0.1%
0.71212675 1
< 0.1%

tBodyAccJerk-arCoeff()-Y,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06928132545
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4338
Negative (%)59.0%
Memory size57.6 KiB
2025-03-02T10:03:32.834806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.49179332
Q1-0.2774235325
median-0.0815324665
Q30.1482465625
95-th percentile0.3695110025
Maximum1
Range2
Interquartile range (IQR)0.425670095

Descriptive statistics

Standard deviation0.2716179657
Coefficient of variation (CV)-3.920507639
Kurtosis-0.6618805594
Mean-0.06928132545
Median Absolute Deviation (MAD)0.2134169315
Skewness0.05492733193
Sum-509.3563047
Variance0.07377631928
MonotonicityNot monotonic
2025-03-02T10:03:32.881563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.24140146 1
 
< 0.1%
-0.08607529 1
 
< 0.1%
-0.23777926 1
 
< 0.1%
0.13161608 1
 
< 0.1%
-0.041251768 1
 
< 0.1%
-0.31733536 1
 
< 0.1%
-0.2176446 1
 
< 0.1%
-0.0026582381 1
 
< 0.1%
0.23478273 1
 
< 0.1%
0.26291821 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.82218019 1
< 0.1%
-0.81930279 1
< 0.1%
-0.81640088 1
< 0.1%
-0.81497533 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98611478 1
< 0.1%
0.8684695 1
< 0.1%
0.7786688 1
< 0.1%
0.7409852 1
< 0.1%

tBodyAccJerk-arCoeff()-Y,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06439249425
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative2763
Negative (%)37.6%
Memory size57.6 KiB
2025-03-02T10:03:33.009428image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2921593685
Q1-0.068691135
median0.0609895725
Q30.20389927
95-th percentile0.418593105
Maximum1
Range2
Interquartile range (IQR)0.272590405

Descriptive statistics

Standard deviation0.2184139049
Coefficient of variation (CV)3.391915587
Kurtosis0.8657475555
Mean0.06439249425
Median Absolute Deviation (MAD)0.1367923845
Skewness-0.0231464654
Sum473.4136177
Variance0.04770463387
MonotonicityNot monotonic
2025-03-02T10:03:33.056954image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.052252848 1
 
< 0.1%
-0.059805699 1
 
< 0.1%
0.049870122 1
 
< 0.1%
-0.37246495 1
 
< 0.1%
-0.59996495 1
 
< 0.1%
-0.12564583 1
 
< 0.1%
0.095111025 1
 
< 0.1%
0.032524434 1
 
< 0.1%
-0.04012245 1
 
< 0.1%
-0.15259363 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.96002442 1
< 0.1%
-0.94846755 1
< 0.1%
-0.83129506 1
< 0.1%
-0.8116415 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98033511 1
< 0.1%
0.95401345 1
< 0.1%
0.95042646 1
< 0.1%
0.95010746 1
< 0.1%
Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1730079554
Minimum-1
Maximum0.99159215
Zeros0
Zeros (%)0.0%
Negative1674
Negative (%)22.8%
Memory size57.6 KiB
2025-03-02T10:03:33.104887image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.243714916
Q10.0174656875
median0.184866515
Q30.341373725
95-th percentile0.543991312
Maximum0.99159215
Range1.99159215
Interquartile range (IQR)0.3239080375

Descriptive statistics

Standard deviation0.2412769739
Coefficient of variation (CV)1.394600458
Kurtosis0.2820198283
Mean0.1730079554
Median Absolute Deviation (MAD)0.161571986
Skewness-0.3065720737
Sum1271.954488
Variance0.05821457812
MonotonicityNot monotonic
2025-03-02T10:03:33.152563image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.12284005 2
 
< 0.1%
0.2641772 1
 
< 0.1%
0.24394506 1
 
< 0.1%
-0.37430339 1
 
< 0.1%
0.274651 1
 
< 0.1%
0.20393048 1
 
< 0.1%
-0.22073364 1
 
< 0.1%
-0.030637236 1
 
< 0.1%
0.21214786 1
 
< 0.1%
0.23934697 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.91817563 1
< 0.1%
-0.82877851 1
< 0.1%
-0.82279662 1
< 0.1%
-0.78616359 1
< 0.1%
ValueCountFrequency (%)
0.99159215 1
< 0.1%
0.95776758 1
< 0.1%
0.9126348 1
< 0.1%
0.87749224 1
< 0.1%
0.86296322 1
< 0.1%

tBodyAccJerk-arCoeff()-Y,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3220170266
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative428
Negative (%)5.8%
Memory size57.6 KiB
2025-03-02T10:03:33.199303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.01951315365
Q10.19179941
median0.32744051
Q30.461146995
95-th percentile0.6464058385
Maximum1
Range2
Interquartile range (IQR)0.269347585

Descriptive statistics

Standard deviation0.2029093459
Coefficient of variation (CV)0.6301199287
Kurtosis0.4597845688
Mean0.3220170266
Median Absolute Deviation (MAD)0.134674305
Skewness-0.240971396
Sum2367.46918
Variance0.04117220264
MonotonicityNot monotonic
2025-03-02T10:03:33.247852image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.37343945 1
 
< 0.1%
0.24264841 1
 
< 0.1%
0.60121099 1
 
< 0.1%
0.51859317 1
 
< 0.1%
0.42060623 1
 
< 0.1%
0.25688305 1
 
< 0.1%
0.037653189 1
 
< 0.1%
0.35705121 1
 
< 0.1%
0.29488055 1
 
< 0.1%
0.36396573 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.61969416 1
< 0.1%
-0.60333306 1
< 0.1%
-0.58469868 1
< 0.1%
-0.55751572 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97157186 1
< 0.1%
0.92820933 1
< 0.1%
0.9193587 1
< 0.1%
0.90232006 1
< 0.1%

tBodyAccJerk-arCoeff()-Z,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.03001482543
Minimum-1
Maximum0.92520697
Zeros0
Zeros (%)0.0%
Negative3744
Negative (%)50.9%
Memory size57.6 KiB
2025-03-02T10:03:33.296477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4977764925
Q1-0.236193825
median-0.00751085405
Q30.1852880325
95-th percentile0.381188936
Maximum0.92520697
Range1.92520697
Interquartile range (IQR)0.4214818575

Descriptive statistics

Standard deviation0.273950104
Coefficient of variation (CV)-9.127159662
Kurtosis-0.6266663562
Mean-0.03001482543
Median Absolute Deviation (MAD)0.207888295
Skewness-0.2137005191
Sum-220.6689966
Variance0.07504865946
MonotonicityNot monotonic
2025-03-02T10:03:33.344118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.34177752 1
 
< 0.1%
-0.22433139 1
 
< 0.1%
-0.40076464 1
 
< 0.1%
-0.096355095 1
 
< 0.1%
-0.01430987 1
 
< 0.1%
-0.15627142 1
 
< 0.1%
-0.064704635 1
 
< 0.1%
-0.0078735174 1
 
< 0.1%
0.11098456 1
 
< 0.1%
0.069210634 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.93059697 1
< 0.1%
-0.83385065 1
< 0.1%
-0.80144636 1
< 0.1%
-0.79326283 1
< 0.1%
ValueCountFrequency (%)
0.92520697 1
< 0.1%
0.74940348 1
< 0.1%
0.74570095 1
< 0.1%
0.71429593 1
< 0.1%
0.67220137 1
< 0.1%

tBodyAccJerk-arCoeff()-Z,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08358687111
Minimum-0.79906863
Maximum1
Zeros0
Zeros (%)0.0%
Negative2417
Negative (%)32.9%
Memory size57.6 KiB
2025-03-02T10:03:33.389301image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.79906863
5-th percentile-0.2393095275
Q1-0.04263467225
median0.0832579235
Q30.2081782675
95-th percentile0.405997824
Maximum1
Range1.79906863
Interquartile range (IQR)0.2508129398

Descriptive statistics

Standard deviation0.1967538916
Coefficient of variation (CV)2.353885114
Kurtosis0.5362367532
Mean0.08358687111
Median Absolute Deviation (MAD)0.1254601315
Skewness0.02809725513
Sum614.5306764
Variance0.03871209386
MonotonicityNot monotonic
2025-03-02T10:03:33.434261image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.56979119 1
 
< 0.1%
0.071798542 1
 
< 0.1%
0.20376966 1
 
< 0.1%
-0.18886112 1
 
< 0.1%
-0.30870786 1
 
< 0.1%
-0.0459272 1
 
< 0.1%
0.03113567 1
 
< 0.1%
0.26058276 1
 
< 0.1%
0.13397698 1
 
< 0.1%
0.11486474 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.79906863 1
< 0.1%
-0.78278229 1
< 0.1%
-0.77405584 1
< 0.1%
-0.67020092 1
< 0.1%
-0.65985886 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.88506613 1
< 0.1%
0.85391821 1
< 0.1%
0.81930466 1
< 0.1%
0.78913127 1
< 0.1%

tBodyAccJerk-arCoeff()-Z,3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003613648089
Minimum-1
Maximum0.93354746
Zeros0
Zeros (%)0.0%
Negative3537
Negative (%)48.1%
Memory size57.6 KiB
2025-03-02T10:03:33.480991image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3988795165
Q1-0.145315535
median0.0117838275
Q30.159657455
95-th percentile0.3363231685
Maximum0.93354746
Range1.93354746
Interquartile range (IQR)0.30497299

Descriptive statistics

Standard deviation0.2253413914
Coefficient of variation (CV)-62.35842171
Kurtosis0.1697672063
Mean-0.003613648089
Median Absolute Deviation (MAD)0.1519709925
Skewness-0.3501319569
Sum-26.56754075
Variance0.05077874268
MonotonicityNot monotonic
2025-03-02T10:03:33.528304image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.26539882 1
 
< 0.1%
-0.31600514 1
 
< 0.1%
-0.17836437 1
 
< 0.1%
-0.095233174 1
 
< 0.1%
-0.093052878 1
 
< 0.1%
-0.041940131 1
 
< 0.1%
0.11039079 1
 
< 0.1%
-0.093709602 1
 
< 0.1%
0.026350091 1
 
< 0.1%
0.14819748 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.95549446 1
< 0.1%
-0.935246 1
< 0.1%
-0.9169945 1
< 0.1%
-0.87460389 1
< 0.1%
ValueCountFrequency (%)
0.93354746 1
< 0.1%
0.77432692 1
< 0.1%
0.67929476 1
< 0.1%
0.66172146 1
< 0.1%
0.66159927 1
< 0.1%

tBodyAccJerk-arCoeff()-Z,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1394565419
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1985
Negative (%)27.0%
Memory size57.6 KiB
2025-03-02T10:03:33.575464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.275964432
Q1-0.01507820875
median0.15394407
Q30.3016996125
95-th percentile0.5054764865
Maximum1
Range2
Interquartile range (IQR)0.3167778212

Descriptive statistics

Standard deviation0.2381973149
Coefficient of variation (CV)1.708039735
Kurtosis0.3070808981
Mean0.1394565419
Median Absolute Deviation (MAD)0.1577401317
Skewness-0.2817860542
Sum1025.284496
Variance0.05673796083
MonotonicityNot monotonic
2025-03-02T10:03:33.622260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.47787489 1
 
< 0.1%
0.22889366 1
 
< 0.1%
-0.038865959 1
 
< 0.1%
0.36826474 1
 
< 0.1%
0.49351014 1
 
< 0.1%
0.0031699147 1
 
< 0.1%
0.20158986 1
 
< 0.1%
0.63638267 1
 
< 0.1%
0.18005919 1
 
< 0.1%
0.18352647 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.84292689 1
< 0.1%
-0.76507069 1
< 0.1%
-0.75658748 1
< 0.1%
-0.74024474 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90556787 1
< 0.1%
0.86019917 1
< 0.1%
0.85975336 1
< 0.1%
0.85633131 1
< 0.1%

tBodyAccJerk-correlation()-X,Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1447952979
Minimum-1
Maximum0.90448
Zeros0
Zeros (%)0.0%
Negative5316
Negative (%)72.3%
Memory size57.6 KiB
2025-03-02T10:03:33.669258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.56949182
Q1-0.3104895175
median-0.144727625
Q30.02005705825
95-th percentile0.275428081
Maximum0.90448
Range1.90448
Interquartile range (IQR)0.3305465757

Descriptive statistics

Standard deviation0.2558926631
Coefficient of variation (CV)-1.767271913
Kurtosis0.2338903941
Mean-0.1447952979
Median Absolute Deviation (MAD)0.1654149
Skewness0.04193953242
Sum-1064.53503
Variance0.06548105504
MonotonicityNot monotonic
2025-03-02T10:03:33.714554image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.3853005 1
 
< 0.1%
-0.24808517 1
 
< 0.1%
-0.3450189 1
 
< 0.1%
-0.41888216 1
 
< 0.1%
-0.13399297 1
 
< 0.1%
0.22388404 1
 
< 0.1%
-0.042866568 1
 
< 0.1%
-0.26396249 1
 
< 0.1%
-0.27983064 1
 
< 0.1%
-0.41591447 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.98645695 1
< 0.1%
-0.97905525 1
< 0.1%
-0.93398555 1
< 0.1%
-0.92423639 1
< 0.1%
ValueCountFrequency (%)
0.90448 1
< 0.1%
0.89924678 1
< 0.1%
0.86972621 1
< 0.1%
0.86753446 1
< 0.1%
0.85105765 1
< 0.1%

tBodyAccJerk-correlation()-X,Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008602818588
Minimum-1
Maximum0.99325846
Zeros0
Zeros (%)0.0%
Negative3538
Negative (%)48.1%
Memory size57.6 KiB
2025-03-02T10:03:33.759283image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.468386337
Q1-0.1933737875
median0.017323769
Q30.2131489425
95-th percentile0.472327514
Maximum0.99325846
Range1.99325846
Interquartile range (IQR)0.40652273

Descriptive statistics

Standard deviation0.2878194191
Coefficient of variation (CV)33.45640922
Kurtosis-0.2700491298
Mean0.008602818588
Median Absolute Deviation (MAD)0.202488629
Skewness-0.06465956756
Sum63.24792226
Variance0.08284001803
MonotonicityNot monotonic
2025-03-02T10:03:33.806351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.033643943 1
 
< 0.1%
-0.25027804 1
 
< 0.1%
-0.51451474 1
 
< 0.1%
-0.54667821 1
 
< 0.1%
-0.4340443 1
 
< 0.1%
0.025224949 1
 
< 0.1%
-0.031491875 1
 
< 0.1%
-0.094384974 1
 
< 0.1%
0.072065239 1
 
< 0.1%
-0.33379155 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.97315833 1
< 0.1%
-0.96543146 1
< 0.1%
-0.95302142 1
< 0.1%
-0.95199503 1
< 0.1%
ValueCountFrequency (%)
0.99325846 1
< 0.1%
0.96156469 1
< 0.1%
0.9193124 1
< 0.1%
0.86757962 1
< 0.1%
0.85833202 1
< 0.1%
Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08830035667
Minimum-0.95950504
Maximum1
Zeros0
Zeros (%)0.0%
Negative2840
Negative (%)38.6%
Memory size57.6 KiB
2025-03-02T10:03:33.852638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.95950504
5-th percentile-0.33869875
Q1-0.09790951475
median0.0798785055
Q30.2686357575
95-th percentile0.5493532035
Maximum1
Range1.95950504
Interquartile range (IQR)0.3665452722

Descriptive statistics

Standard deviation0.2722481202
Coefficient of variation (CV)3.083205216
Kurtosis-0.06160034588
Mean0.08830035667
Median Absolute Deviation (MAD)0.1827943805
Skewness0.06679188776
Sum649.1842222
Variance0.07411903897
MonotonicityNot monotonic
2025-03-02T10:03:33.899282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.32707377 2
 
< 0.1%
0.26026731 2
 
< 0.1%
-0.12651082 1
 
< 0.1%
0.72656647 1
 
< 0.1%
0.62360433 1
 
< 0.1%
0.90842469 1
 
< 0.1%
0.73347724 1
 
< 0.1%
0.35934188 1
 
< 0.1%
0.44758096 1
 
< 0.1%
0.44366884 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-0.95950504 1
< 0.1%
-0.89566069 1
< 0.1%
-0.81696233 1
< 0.1%
-0.79346454 1
< 0.1%
-0.77309222 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99036365 1
< 0.1%
0.95759293 1
< 0.1%
0.93998922 1
< 0.1%
0.92011097 1
< 0.1%

tBodyGyro-mean()-X
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02718381097
Minimum-0.91404957
Maximum0.73895313
Zeros0
Zeros (%)0.0%
Negative5748
Negative (%)78.2%
Memory size57.6 KiB
2025-03-02T10:03:33.943059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.91404957
5-th percentile-0.3861323025
Q1-0.04339840825
median-0.027677044
Q3-0.01052779175
95-th percentile0.3405965375
Maximum0.73895313
Range1.6530027
Interquartile range (IQR)0.0328706165

Descriptive statistics

Standard deviation0.1821564211
Coefficient of variation (CV)-6.70091553
Kurtosis3.500048389
Mean-0.02718381097
Median Absolute Deviation (MAD)0.0163952775
Skewness-0.07865073103
Sum-199.8553783
Variance0.03318096176
MonotonicityNot monotonic
2025-03-02T10:03:33.987097image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0061008489 1
 
< 0.1%
-0.065448262 1
 
< 0.1%
0.050641444 1
 
< 0.1%
0.0027608089 1
 
< 0.1%
-0.058506979 1
 
< 0.1%
-0.061066209 1
 
< 0.1%
-0.010196776 1
 
< 0.1%
-0.014845725 1
 
< 0.1%
-0.028075289 1
 
< 0.1%
-0.031041082 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.91404957 1
< 0.1%
-0.82390857 1
< 0.1%
-0.81564987 1
< 0.1%
-0.80725006 1
< 0.1%
-0.77330305 1
< 0.1%
ValueCountFrequency (%)
0.73895313 1
< 0.1%
0.71825221 1
< 0.1%
0.7026117 1
< 0.1%
0.69144078 1
< 0.1%
0.68040631 1
< 0.1%

tBodyGyro-mean()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07616396806
Minimum-0.85197318
Maximum1
Zeros0
Zeros (%)0.0%
Negative6240
Negative (%)84.9%
Memory size57.6 KiB
2025-03-02T10:03:34.029955image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.85197318
5-th percentile-0.3053495815
Q1-0.1036044925
median-0.0747781815
Q3-0.0521124645
95-th percentile0.1505771865
Maximum1
Range1.85197318
Interquartile range (IQR)0.051492028

Descriptive statistics

Standard deviation0.1323775138
Coefficient of variation (CV)-1.738059573
Kurtosis5.320522214
Mean-0.07616396806
Median Absolute Deviation (MAD)0.0258585165
Skewness0.161911913
Sum-559.9574931
Variance0.01752380616
MonotonicityNot monotonic
2025-03-02T10:03:34.074180image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.031364791 1
 
< 0.1%
-0.053647764 1
 
< 0.1%
-0.11555514 1
 
< 0.1%
-0.11928574 1
 
< 0.1%
-0.083529589 1
 
< 0.1%
-0.082698094 1
 
< 0.1%
-0.074823108 1
 
< 0.1%
-0.066435677 1
 
< 0.1%
-0.067996626 1
 
< 0.1%
-0.091814487 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.85197318 1
< 0.1%
-0.7702705 1
< 0.1%
-0.72526613 1
< 0.1%
-0.69305978 1
< 0.1%
-0.68410984 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.67109388 1
< 0.1%
0.64299186 1
< 0.1%
0.62267233 1
< 0.1%
0.61928793 1
< 0.1%

tBodyGyro-mean()-Z
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08658799278
Minimum-0.90285978
Maximum1
Zeros0
Zeros (%)0.0%
Negative837
Negative (%)11.4%
Memory size57.6 KiB
2025-03-02T10:03:34.118417image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.90285978
5-th percentile-0.1133435655
Q10.064134552
median0.086113995
Q30.1095991275
95-th percentile0.2961487105
Maximum1
Range1.90285978
Interquartile range (IQR)0.0454645755

Descriptive statistics

Standard deviation0.1393053141
Coefficient of variation (CV)1.608829465
Kurtosis9.721194432
Mean0.08658799278
Median Absolute Deviation (MAD)0.02266068
Skewness-0.09085693967
Sum636.5949229
Variance0.01940597053
MonotonicityNot monotonic
2025-03-02T10:03:34.163615image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1135726 2
 
< 0.1%
0.1077254 1
 
< 0.1%
0.048283924 1
 
< 0.1%
0.028970917 1
 
< 0.1%
0.075356166 1
 
< 0.1%
0.10735016 1
 
< 0.1%
0.11506466 1
 
< 0.1%
0.075174092 1
 
< 0.1%
0.073921652 1
 
< 0.1%
0.083595025 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.90285978 1
< 0.1%
-0.85373664 1
< 0.1%
-0.83573374 1
< 0.1%
-0.82935879 1
< 0.1%
-0.82023108 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96302381 1
< 0.1%
0.94395455 1
< 0.1%
0.94087021 1
< 0.1%
0.93735217 1
< 0.1%

tBodyGyro-std()-X
Real number (ℝ)

Distinct7346
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7208879546
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7237
Negative (%)98.4%
Memory size57.6 KiB
2025-03-02T10:03:34.294034image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9975190405
Q1-0.9880733825
median-0.911507735
Q3-0.477884935
95-th percentile-0.1680955185
Maximum1
Range2
Interquartile range (IQR)0.5101884475

Descriptive statistics

Standard deviation0.3067235071
Coefficient of variation (CV)-0.425480139
Kurtosis-0.1117173217
Mean-0.7208879546
Median Absolute Deviation (MAD)0.086480275
Skewness0.8371485697
Sum-5299.968242
Variance0.09407930983
MonotonicityNot monotonic
2025-03-02T10:03:34.342266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99856443 2
 
< 0.1%
-0.97800261 2
 
< 0.1%
-0.99497025 2
 
< 0.1%
-0.97631525 2
 
< 0.1%
-0.9944528 2
 
< 0.1%
-0.970255 2
 
< 0.1%
-0.98531027 1
 
< 0.1%
-0.98333781 1
 
< 0.1%
-0.9853581 1
 
< 0.1%
-0.98597965 1
 
< 0.1%
Other values (7336) 7336
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99975503 1
< 0.1%
-0.9997259 1
< 0.1%
-0.99960009 1
< 0.1%
-0.99958096 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.88655859 1
< 0.1%
0.59866476 1
< 0.1%
0.54264099 1
< 0.1%
0.51444428 1
< 0.1%

tBodyGyro-std()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.675879523
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6891
Negative (%)93.7%
Memory size57.6 KiB
2025-03-02T10:03:34.389400image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9958609605
Q1-0.983511455
median-0.917538875
Q3-0.43010843
95-th percentile0.03472689975
Maximum1
Range2
Interquartile range (IQR)0.553403025

Descriptive statistics

Standard deviation0.3713372914
Coefficient of variation (CV)-0.5494134365
Kurtosis0.270878998
Mean-0.675879523
Median Absolute Deviation (MAD)0.07883952
Skewness1.020567227
Sum-4969.066253
Variance0.137891384
MonotonicityNot monotonic
2025-03-02T10:03:34.437803image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.97662344 1
 
< 0.1%
-0.94468961 1
 
< 0.1%
-0.87956647 1
 
< 0.1%
-0.87841336 1
 
< 0.1%
-0.89950846 1
 
< 0.1%
-0.94508602 1
 
< 0.1%
-0.95522083 1
 
< 0.1%
-0.98265856 1
 
< 0.1%
-0.9817279 1
 
< 0.1%
-0.97679561 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999895 1
< 0.1%
-0.99997336 1
< 0.1%
-0.99982657 1
< 0.1%
-0.99969985 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93374095 1
< 0.1%
0.92773021 1
< 0.1%
0.89810937 1
< 0.1%
0.82486178 1
< 0.1%

tBodyGyro-std()-Z
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6545188058
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7078
Negative (%)96.3%
Memory size57.6 KiB
2025-03-02T10:03:34.484064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996528428
Q1-0.9868052275
median-0.890101005
Q3-0.332647225
95-th percentile-0.0543916956
Maximum1
Range2
Interquartile range (IQR)0.6541580025

Descriptive statistics

Standard deviation0.3772825289
Coefficient of variation (CV)-0.5764273319
Kurtosis-0.03924821547
Mean-0.6545188058
Median Absolute Deviation (MAD)0.106693485
Skewness0.8202013445
Sum-4812.02226
Variance0.1423421066
MonotonicityNot monotonic
2025-03-02T10:03:34.530375image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98597101 2
 
< 0.1%
-0.99220528 1
 
< 0.1%
-0.98195902 1
 
< 0.1%
-0.80926209 1
 
< 0.1%
-0.87230234 1
 
< 0.1%
-0.92661606 1
 
< 0.1%
-0.9168615 1
 
< 0.1%
-0.88946905 1
 
< 0.1%
-0.9057912 1
 
< 0.1%
-0.97404641 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99988175 1
< 0.1%
-0.99977069 1
< 0.1%
-0.9996428 1
< 0.1%
-0.99958983 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96055982 1
< 0.1%
0.9407296 1
< 0.1%
0.93408485 1
< 0.1%
0.90543096 1
< 0.1%

tBodyGyro-mad()-X
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7264096304
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7242
Negative (%)98.5%
Memory size57.6 KiB
2025-03-02T10:03:34.577311image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9975884815
Q1-0.9889216325
median-0.91759021
Q3-0.4877263575
95-th percentile-0.1840319275
Maximum1
Range2
Interquartile range (IQR)0.501195275

Descriptive statistics

Standard deviation0.3029809923
Coefficient of variation (CV)-0.4170938539
Kurtosis-0.1387264334
Mean-0.7264096304
Median Absolute Deviation (MAD)0.080445055
Skewness0.8408292234
Sum-5340.563603
Variance0.09179748167
MonotonicityNot monotonic
2025-03-02T10:03:34.624701image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9973109 2
 
< 0.1%
-0.9983225 2
 
< 0.1%
-0.99784542 2
 
< 0.1%
-0.98458626 1
 
< 0.1%
-0.94747431 1
 
< 0.1%
-0.87353892 1
 
< 0.1%
-0.90340073 1
 
< 0.1%
-0.86464142 1
 
< 0.1%
-0.78284611 1
 
< 0.1%
-0.84171916 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99970919 1
< 0.1%
-0.99969407 1
< 0.1%
-0.99962526 1
< 0.1%
-0.9996118 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.6790468 1
< 0.1%
0.61374858 1
< 0.1%
0.5542536 1
< 0.1%
0.49452218 1
< 0.1%

tBodyGyro-mad()-Y
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6885949578
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6970
Negative (%)94.8%
Memory size57.6 KiB
2025-03-02T10:03:34.671592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996068416
Q1-0.9846379925
median-0.92454568
Q3-0.4481056475
95-th percentile0.006490593765
Maximum1
Range2
Interquartile range (IQR)0.536532345

Descriptive statistics

Standard deviation0.3570650512
Coefficient of variation (CV)-0.5185414839
Kurtosis0.1008943063
Mean-0.6885949578
Median Absolute Deviation (MAD)0.07200186
Skewness0.9851193881
Sum-5062.55013
Variance0.1274954508
MonotonicityNot monotonic
2025-03-02T10:03:34.718914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.97718025 2
 
< 0.1%
-0.97635262 1
 
< 0.1%
-0.9605203 1
 
< 0.1%
-0.90294432 1
 
< 0.1%
-0.89877149 1
 
< 0.1%
-0.90378638 1
 
< 0.1%
-0.92789092 1
 
< 0.1%
-0.94999835 1
 
< 0.1%
-0.96464036 1
 
< 0.1%
-0.98253542 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999992 1
< 0.1%
-0.99996852 1
< 0.1%
-0.9997374 1
< 0.1%
-0.99957292 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97978545 1
< 0.1%
0.71017371 1
< 0.1%
0.61176915 1
< 0.1%
0.60627422 1
< 0.1%

tBodyGyro-mad()-Z
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6672403142
Minimum-0.99991531
Maximum1
Zeros0
Zeros (%)0.0%
Negative7088
Negative (%)96.4%
Memory size57.6 KiB
2025-03-02T10:03:34.766229image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99991531
5-th percentile-0.9966302265
Q1-0.98763659
median-0.89695008
Q3-0.3593881075
95-th percentile-0.0797998133
Maximum1
Range1.99991531
Interquartile range (IQR)0.6282484825

Descriptive statistics

Standard deviation0.3679226963
Coefficient of variation (CV)-0.5514095724
Kurtosis0.2964522629
Mean-0.6672403142
Median Absolute Deviation (MAD)0.100020935
Skewness0.8988083607
Sum-4905.55079
Variance0.1353671105
MonotonicityNot monotonic
2025-03-02T10:03:34.814142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.97819872 2
 
< 0.1%
-0.99136457 2
 
< 0.1%
-0.95182453 2
 
< 0.1%
-0.99093666 2
 
< 0.1%
-0.93276117 1
 
< 0.1%
-0.88393111 1
 
< 0.1%
-0.92214307 1
 
< 0.1%
-0.89784672 1
 
< 0.1%
-0.94815883 1
 
< 0.1%
-0.91672967 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-0.99991531 1
< 0.1%
-0.99978802 1
< 0.1%
-0.99978072 1
< 0.1%
-0.99976746 1
< 0.1%
-0.99963606 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94088961 1
< 0.1%
0.91285635 1
< 0.1%
0.91017604 1
< 0.1%
0.90860042 1
< 0.1%

tBodyGyro-max()-X
Real number (ℝ)

Distinct5439
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6427855634
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7174
Negative (%)97.6%
Memory size57.6 KiB
2025-03-02T10:03:34.861123image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.886585898
Q1-0.87858851
median-0.80427399
Q3-0.42955172
95-th percentile-0.10965642
Maximum1
Range2
Interquartile range (IQR)0.44903679

Descriptive statistics

Standard deviation0.2830465009
Coefficient of variation (CV)-0.4403435873
Kurtosis0.3881141162
Mean-0.6427855634
Median Absolute Deviation (MAD)0.08237467
Skewness1.016553346
Sum-4725.759462
Variance0.08011532165
MonotonicityNot monotonic
2025-03-02T10:03:34.908485image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.86967892 3
 
< 0.1%
-0.87763386 2
 
< 0.1%
-0.88587938 2
 
< 0.1%
-0.84396324 2
 
< 0.1%
-0.37005305 2
 
< 0.1%
-0.30881468 2
 
< 0.1%
-0.27049202 2
 
< 0.1%
-0.36734067 2
 
< 0.1%
-0.88670163 2
 
< 0.1%
-0.37968316 2
 
< 0.1%
Other values (5429) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.97966365 1
< 0.1%
-0.97871809 1
< 0.1%
-0.97516694 1
< 0.1%
-0.97053399 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.82900611 1
< 0.1%
0.71827148 1
< 0.1%
0.7101951 2
< 0.1%
0.56088654 2
< 0.1%

tBodyGyro-max()-Y
Real number (ℝ)

Distinct5303
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7333675857
Minimum-0.99801363
Maximum1
Zeros0
Zeros (%)0.0%
Negative7171
Negative (%)97.5%
Memory size57.6 KiB
2025-03-02T10:03:34.954788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99801363
5-th percentile-0.9559194115
Q1-0.94823607
median-0.896110005
Q3-0.572217625
95-th percentile-0.2182061
Maximum1
Range1.99801363
Interquartile range (IQR)0.376018445

Descriptive statistics

Standard deviation0.2769500653
Coefficient of variation (CV)-0.3776415412
Kurtosis2.65658878
Mean-0.7333675857
Median Absolute Deviation (MAD)0.060335465
Skewness1.509217163
Sum-5391.71849
Variance0.07670133867
MonotonicityNot monotonic
2025-03-02T10:03:35.002481image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.94977723 4
 
0.1%
-0.94034901 2
 
< 0.1%
-0.92309941 2
 
< 0.1%
-0.052022743 2
 
< 0.1%
-0.94685728 2
 
< 0.1%
-0.93444129 2
 
< 0.1%
-0.13992521 2
 
< 0.1%
-0.95455398 2
 
< 0.1%
-0.9522572 2
 
< 0.1%
-0.6034665 2
 
< 0.1%
Other values (5293) 7330
99.7%
ValueCountFrequency (%)
-0.99801363 1
< 0.1%
-0.99701554 1
< 0.1%
-0.99470686 1
< 0.1%
-0.99391471 1
< 0.1%
-0.99241245 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89779156 2
< 0.1%
0.77999796 2
< 0.1%
0.65573062 1
< 0.1%
0.62201855 1
< 0.1%

tBodyGyro-max()-Z
Real number (ℝ)

Distinct5414
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4857719475
Minimum-0.9434386
Maximum1
Zeros0
Zeros (%)0.0%
Negative6868
Negative (%)93.4%
Memory size57.6 KiB
2025-03-02T10:03:35.049415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9434386
5-th percentile-0.7595936175
Q1-0.7506197375
median-0.65561596
Q3-0.2566306925
95-th percentile0.04777251645
Maximum1
Range1.9434386
Interquartile range (IQR)0.493989045

Descriptive statistics

Standard deviation0.3046374002
Coefficient of variation (CV)-0.6271201987
Kurtosis0.302006661
Mean-0.4857719475
Median Absolute Deviation (MAD)0.10475234
Skewness0.9156009734
Sum-3571.395358
Variance0.09280394563
MonotonicityNot monotonic
2025-03-02T10:03:35.095358image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.75771961 3
 
< 0.1%
-0.74894464 2
 
< 0.1%
-0.49062702 2
 
< 0.1%
-0.19504327 2
 
< 0.1%
-0.75620095 2
 
< 0.1%
-0.75162234 2
 
< 0.1%
-0.72360706 2
 
< 0.1%
-0.75730277 2
 
< 0.1%
-0.75728763 2
 
< 0.1%
-0.75532488 2
 
< 0.1%
Other values (5404) 7331
99.7%
ValueCountFrequency (%)
-0.9434386 1
< 0.1%
-0.94058584 1
< 0.1%
-0.92405171 1
< 0.1%
-0.89791691 1
< 0.1%
-0.89558433 1
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.93540914 1
< 0.1%
0.89290176 2
< 0.1%
0.82004526 2
< 0.1%
0.81673437 2
< 0.1%

tBodyGyro-min()-X
Real number (ℝ)

Distinct5399
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6342998597
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative158
Negative (%)2.1%
Memory size57.6 KiB
2025-03-02T10:03:35.141847image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.14700647
Q10.46343459
median0.77783909
Q30.838936845
95-th percentile0.8459032045
Maximum1
Range2
Interquartile range (IQR)0.375502255

Descriptive statistics

Standard deviation0.25509891
Coefficient of variation (CV)0.4021739972
Kurtosis1.62626374
Mean0.6342998597
Median Absolute Deviation (MAD)0.067975625
Skewness-1.281329027
Sum4663.372568
Variance0.06507545386
MonotonicityNot monotonic
2025-03-02T10:03:35.189287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.84391736 2
 
< 0.1%
0.37586441 2
 
< 0.1%
0.38847063 2
 
< 0.1%
0.39852209 2
 
< 0.1%
0.29737926 2
 
< 0.1%
0.45388216 2
 
< 0.1%
0.47718995 2
 
< 0.1%
0.25524352 2
 
< 0.1%
0.38561063 2
 
< 0.1%
0.43239235 2
 
< 0.1%
Other values (5389) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.91630844 1
< 0.1%
-0.67425414 2
< 0.1%
-0.63459612 2
< 0.1%
-0.61200302 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95921262 1
< 0.1%
0.93477573 1
< 0.1%
0.92808967 1
< 0.1%
0.92006218 1
< 0.1%

tBodyGyro-min()-Y
Real number (ℝ)

Distinct5325
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7320937778
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative63
Negative (%)0.9%
Memory size57.6 KiB
2025-03-02T10:03:35.235906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.33613761
Q10.5982119
median0.85723436
Q30.90683004
95-th percentile0.91442208
Maximum1
Range2
Interquartile range (IQR)0.30861814

Descriptive statistics

Standard deviation0.2177465826
Coefficient of variation (CV)0.2974299047
Kurtosis2.44379175
Mean0.7320937778
Median Absolute Deviation (MAD)0.05769129
Skewness-1.387644491
Sum5382.353455
Variance0.04741357423
MonotonicityNot monotonic
2025-03-02T10:03:35.282780image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.91062389 3
 
< 0.1%
0.91026149 2
 
< 0.1%
0.67954632 2
 
< 0.1%
0.70135547 2
 
< 0.1%
0.66806957 2
 
< 0.1%
0.70142756 2
 
< 0.1%
0.6861986 2
 
< 0.1%
0.65336627 2
 
< 0.1%
0.91245178 2
 
< 0.1%
0.65741374 2
 
< 0.1%
Other values (5315) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.59054466 1
< 0.1%
-0.51964743 2
< 0.1%
-0.49360002 2
< 0.1%
-0.41324095 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9683182 1
< 0.1%
0.96453728 1
< 0.1%
0.95725978 1
< 0.1%
0.95205529 1
< 0.1%

tBodyGyro-min()-Z
Real number (ℝ)

Distinct5416
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5611290024
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative330
Negative (%)4.5%
Memory size57.6 KiB
2025-03-02T10:03:35.329855image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.01825734065
Q10.3171956825
median0.74873778
Q30.823762095
95-th percentile0.8314889355
Maximum1
Range2
Interquartile range (IQR)0.5065664125

Descriptive statistics

Standard deviation0.3087189352
Coefficient of variation (CV)0.5501746192
Kurtosis0.1158184061
Mean0.5611290024
Median Absolute Deviation (MAD)0.08523032
Skewness-0.9021359803
Sum4125.420426
Variance0.09530738098
MonotonicityNot monotonic
2025-03-02T10:03:35.377526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.82827682 4
 
0.1%
0.81751775 3
 
< 0.1%
0.32012879 2
 
< 0.1%
0.25834724 2
 
< 0.1%
0.15863573 2
 
< 0.1%
0.24239351 2
 
< 0.1%
0.27106126 2
 
< 0.1%
0.8293658 2
 
< 0.1%
0.098126235 2
 
< 0.1%
0.31891215 2
 
< 0.1%
Other values (5406) 7329
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.89062668 2
< 0.1%
-0.76666063 2
< 0.1%
-0.70808653 2
< 0.1%
-0.68819512 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97115289 1
< 0.1%
0.9687407 1
< 0.1%
0.96741492 1
< 0.1%
0.95401426 1
< 0.1%

tBodyGyro-sma()
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6003872137
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6807
Negative (%)92.6%
Memory size57.6 KiB
2025-03-02T10:03:35.427176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9949822215
Q1-0.9801493775
median-0.8318884
Q3-0.229682745
95-th percentile0.0662007295
Maximum1
Range2
Interquartile range (IQR)0.7504666325

Descriptive statistics

Standard deviation0.4103025951
Coefficient of variation (CV)-0.6833966243
Kurtosis-1.042194473
Mean-0.6003872137
Median Absolute Deviation (MAD)0.16376761
Skewness0.5326148535
Sum-4414.046795
Variance0.1683482196
MonotonicityNot monotonic
2025-03-02T10:03:35.474572image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.97977188 2
 
< 0.1%
-0.97554505 2
 
< 0.1%
-0.99669133 2
 
< 0.1%
-0.96718428 1
 
< 0.1%
-0.94351873 1
 
< 0.1%
-0.77803827 1
 
< 0.1%
-0.84253887 1
 
< 0.1%
-0.88884472 1
 
< 0.1%
-0.88151914 1
 
< 0.1%
-0.83613719 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99970138 1
< 0.1%
-0.99951746 1
< 0.1%
-0.99927899 1
< 0.1%
-0.99917668 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93845887 1
< 0.1%
0.75193647 1
< 0.1%
0.74936949 1
< 0.1%
0.7159474 1
< 0.1%

tBodyGyro-energy()-X
Real number (ℝ)

Distinct7119
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9002398687
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7336
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:35.607779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999916445
Q1-0.99988756
median-0.992361815
Q3-0.8362482825
95-th percentile-0.616391503
Maximum1
Range2
Interquartile range (IQR)0.1636392775

Descriptive statistics

Standard deviation0.147175989
Coefficient of variation (CV)-0.1634853044
Kurtosis12.06926419
Mean-0.9002398687
Median Absolute Deviation (MAD)0.007634585
Skewness2.478361089
Sum-6618.563515
Variance0.02166077173
MonotonicityNot monotonic
2025-03-02T10:03:35.653797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999616 4
 
0.1%
-0.99998461 4
 
0.1%
-0.99985739 3
 
< 0.1%
-0.99999447 3
 
< 0.1%
-0.99999559 3
 
< 0.1%
-0.99999978 3
 
< 0.1%
-0.9999926 3
 
< 0.1%
-0.99998754 3
 
< 0.1%
-0.99998743 3
 
< 0.1%
-0.99998751 3
 
< 0.1%
Other values (7109) 7320
99.6%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-0.99999985 1
 
< 0.1%
-0.99999978 3
< 0.1%
-0.99999949 1
 
< 0.1%
-0.99999934 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.62875733 1
< 0.1%
0.42034862 1
< 0.1%
0.24144013 1
< 0.1%
0.23483092 1
< 0.1%

tBodyGyro-energy()-Y
Real number (ℝ)

Distinct7246
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.877017124
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7286
Negative (%)99.1%
Memory size57.6 KiB
2025-03-02T10:03:35.699097image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999975274
Q1-0.9997791975
median-0.993381615
Q3-0.83476472
95-th percentile-0.466875525
Maximum1
Range2
Interquartile range (IQR)0.1650144775

Descriptive statistics

Standard deviation0.2042992973
Coefficient of variation (CV)-0.2329479
Kurtosis10.25392738
Mean-0.877017124
Median Absolute Deviation (MAD)0.00660387
Skewness2.723034501
Sum-6447.829896
Variance0.04173820289
MonotonicityNot monotonic
2025-03-02T10:03:35.745590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99993908 3
 
< 0.1%
-0.99996723 3
 
< 0.1%
-0.99996058 3
 
< 0.1%
-0.99987416 2
 
< 0.1%
-0.99996838 2
 
< 0.1%
-0.99996193 2
 
< 0.1%
-0.99995331 2
 
< 0.1%
-0.99987295 2
 
< 0.1%
-0.99996064 2
 
< 0.1%
-0.99997857 2
 
< 0.1%
Other values (7236) 7329
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999966 1
< 0.1%
-0.9999996 1
< 0.1%
-0.99999949 1
< 0.1%
-0.99999921 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.85341458 1
< 0.1%
0.84792678 1
< 0.1%
0.7722604 1
< 0.1%
0.63868267 1
< 0.1%

tBodyGyro-energy()-Z
Real number (ℝ)

Distinct7233
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8711875738
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7276
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:03:35.791483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999976378
Q1-0.9997905125
median-0.984280215
Q3-0.785585875
95-th percentile-0.5737831225
Maximum1
Range2
Interquartile range (IQR)0.2142046375

Descriptive statistics

Standard deviation0.1981468181
Coefficient of variation (CV)-0.2274444953
Kurtosis16.4769528
Mean-0.8711875738
Median Absolute Deviation (MAD)0.015705865
Skewness3.189717817
Sum-6404.971043
Variance0.03926216151
MonotonicityNot monotonic
2025-03-02T10:03:35.837941image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998645 3
 
< 0.1%
-0.99997672 3
 
< 0.1%
-0.99997769 3
 
< 0.1%
-0.99991655 3
 
< 0.1%
-0.99991882 2
 
< 0.1%
-0.99995975 2
 
< 0.1%
-0.99997625 2
 
< 0.1%
-0.99889916 2
 
< 0.1%
-0.99994245 2
 
< 0.1%
-0.99996467 2
 
< 0.1%
Other values (7223) 7328
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999927 1
< 0.1%
-0.99999859 1
< 0.1%
-0.99999844 1
< 0.1%
-0.99999836 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.85959485 1
< 0.1%
0.84908377 1
< 0.1%
0.77481927 1
< 0.1%
0.76960043 1
< 0.1%

tBodyGyro-iqr()-X
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7296360961
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7236
Negative (%)98.4%
Memory size57.6 KiB
2025-03-02T10:03:35.888061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997687405
Q1-0.990299455
median-0.92935319
Q3-0.4965056775
95-th percentile-0.168072343
Maximum1
Range2
Interquartile range (IQR)0.4937937775

Descriptive statistics

Standard deviation0.3069369631
Coefficient of variation (CV)-0.4206712973
Kurtosis-0.03120754773
Mean-0.7296360961
Median Absolute Deviation (MAD)0.068721895
Skewness0.8991946945
Sum-5364.284579
Variance0.09421029933
MonotonicityNot monotonic
2025-03-02T10:03:35.935738image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99636469 2
 
< 0.1%
-0.98343808 1
 
< 0.1%
-0.98250908 1
 
< 0.1%
-0.85572602 1
 
< 0.1%
-0.89592469 1
 
< 0.1%
-0.86794514 1
 
< 0.1%
-0.80439208 1
 
< 0.1%
-0.89049125 1
 
< 0.1%
-0.9692414 1
 
< 0.1%
-0.98853653 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998499 1
< 0.1%
-0.99970913 1
< 0.1%
-0.99967977 1
< 0.1%
-0.99966387 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.64002115 1
< 0.1%
0.52924277 1
< 0.1%
0.52819635 1
< 0.1%
0.50168054 1
< 0.1%

tBodyGyro-iqr()-Y
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7132267246
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7078
Negative (%)96.3%
Memory size57.6 KiB
2025-03-02T10:03:35.983772image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996477945
Q1-0.987118005
median-0.935643695
Q3-0.495406275
95-th percentile-0.05389795395
Maximum1
Range2
Interquartile range (IQR)0.49171173

Descriptive statistics

Standard deviation0.3344174657
Coefficient of variation (CV)-0.4688796061
Kurtosis0.1599230594
Mean-0.7132267246
Median Absolute Deviation (MAD)0.06109591
Skewness1.016084544
Sum-5243.64288
Variance0.1118350414
MonotonicityNot monotonic
2025-03-02T10:03:36.033861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98853871 2
 
< 0.1%
-0.97861401 1
 
< 0.1%
-0.96757257 1
 
< 0.1%
-0.95660986 1
 
< 0.1%
-0.92403411 1
 
< 0.1%
-0.92816939 1
 
< 0.1%
-0.93924781 1
 
< 0.1%
-0.95375189 1
 
< 0.1%
-0.95635305 1
 
< 0.1%
-0.97944553 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999749 1
< 0.1%
-0.99974262 1
< 0.1%
-0.99959378 1
< 0.1%
-0.99951664 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98964188 1
< 0.1%
0.5534904 1
< 0.1%
0.51998647 1
< 0.1%
0.51734951 1
< 0.1%

tBodyGyro-iqr()-Z
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7186422439
Minimum-0.99998266
Maximum1
Zeros0
Zeros (%)0.0%
Negative7159
Negative (%)97.4%
Memory size57.6 KiB
2025-03-02T10:03:36.080635image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99998266
5-th percentile-0.996959755
Q1-0.99028605
median-0.917498385
Q3-0.4676255025
95-th percentile-0.1841876115
Maximum1
Range1.99998266
Interquartile range (IQR)0.5226605475

Descriptive statistics

Standard deviation0.3243706184
Coefficient of variation (CV)-0.4513659212
Kurtosis1.460183272
Mean-0.7186422439
Median Absolute Deviation (MAD)0.07982636
Skewness1.16475582
Sum-5283.457777
Variance0.1052162981
MonotonicityNot monotonic
2025-03-02T10:03:36.128758image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99491913 2
 
< 0.1%
-0.9525263 2
 
< 0.1%
-0.98900575 2
 
< 0.1%
-0.99204146 2
 
< 0.1%
-0.99552674 2
 
< 0.1%
-0.99296558 1
 
< 0.1%
-0.94588217 1
 
< 0.1%
-0.98763656 1
 
< 0.1%
-0.98569846 1
 
< 0.1%
-0.97761733 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-0.99998266 1
< 0.1%
-0.99979137 1
< 0.1%
-0.99968347 1
< 0.1%
-0.99953664 1
< 0.1%
-0.99945586 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98322572 1
< 0.1%
0.94108136 1
< 0.1%
0.91345599 1
< 0.1%
0.88086705 1
< 0.1%

tBodyGyro-entropy()-X
Real number (ℝ)

Distinct5961
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1468135071
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4400
Negative (%)59.8%
Memory size57.6 KiB
2025-03-02T10:03:36.175960image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.83871619
Q1-0.51669827
median-0.18124572
Q30.1932019275
95-th percentile0.665142423
Maximum1
Range2
Interquartile range (IQR)0.7099001975

Descriptive statistics

Standard deviation0.4569655173
Coefficient of variation (CV)-3.112557736
Kurtosis-0.7018870316
Mean-0.1468135071
Median Absolute Deviation (MAD)0.355144275
Skewness0.2229896549
Sum-1079.372904
Variance0.208817484
MonotonicityNot monotonic
2025-03-02T10:03:36.223113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 161
 
2.2%
-0.97974251 25
 
0.3%
-0.9595123 19
 
0.3%
-0.72376173 13
 
0.2%
0.22804835 10
 
0.1%
-0.8788686 9
 
0.1%
0.14185639 9
 
0.1%
-0.83871619 9
 
0.1%
-0.68408322 9
 
0.1%
0.12563779 9
 
0.1%
Other values (5951) 7079
96.3%
ValueCountFrequency (%)
-1 161
2.2%
-0.97974251 25
 
0.3%
-0.96431434 5
 
0.1%
-0.9595123 19
 
0.3%
-0.95072615 4
 
0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99794772 1
< 0.1%
0.99338547 1
< 0.1%
0.99157297 2
< 0.1%
0.9855939 1
< 0.1%

tBodyGyro-entropy()-Y
Real number (ℝ)

Distinct6007
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1101352895
Minimum-1
Maximum0.972798
Zeros0
Zeros (%)0.0%
Negative4224
Negative (%)57.5%
Memory size57.6 KiB
2025-03-02T10:03:36.270065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7683117985
Q1-0.372238705
median-0.084202552
Q30.1716562125
95-th percentile0.441912429
Maximum0.972798
Range1.972798
Interquartile range (IQR)0.5438949175

Descriptive statistics

Standard deviation0.3740229667
Coefficient of variation (CV)-3.396031992
Kurtosis-0.3833699597
Mean-0.1101352895
Median Absolute Deviation (MAD)0.268848667
Skewness-0.2432912111
Sum-809.7146487
Variance0.1398931796
MonotonicityNot monotonic
2025-03-02T10:03:36.322415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 120
 
1.6%
-0.97871158 19
 
0.3%
-0.95745183 13
 
0.2%
-0.89384683 10
 
0.1%
-0.96249824 9
 
0.1%
-0.93622096 9
 
0.1%
-0.026038386 8
 
0.1%
-0.94126738 8
 
0.1%
0.14996951 8
 
0.1%
0.13088996 8
 
0.1%
Other values (5997) 7140
97.1%
ValueCountFrequency (%)
-1 120
1.6%
-0.97871158 19
 
0.3%
-0.96249824 9
 
0.1%
-0.95745183 13
 
0.2%
-0.94821853 4
 
0.1%
ValueCountFrequency (%)
0.972798 1
< 0.1%
0.95724294 1
< 0.1%
0.92985414 1
< 0.1%
0.9272816 1
< 0.1%
0.92290299 1
< 0.1%

tBodyGyro-entropy()-Z
Real number (ℝ)

Distinct5452
Distinct (%)74.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0757121851
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3642
Negative (%)49.5%
Memory size57.6 KiB
2025-03-02T10:03:36.368679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8447394875
Q1-0.483400585
median0.0113082575
Q30.30544587
95-th percentile0.559846578
Maximum1
Range2
Interquartile range (IQR)0.788846455

Descriptive statistics

Standard deviation0.4606604923
Coefficient of variation (CV)-6.084363986
Kurtosis-1.009036638
Mean-0.0757121851
Median Absolute Deviation (MAD)0.3648310325
Skewness-0.2108074796
Sum-556.6359848
Variance0.2122080892
MonotonicityNot monotonic
2025-03-02T10:03:36.416164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 184
 
2.5%
-0.9782363 29
 
0.4%
0.30030782 11
 
0.1%
-0.94706246 11
 
0.1%
-0.96166098 11
 
0.1%
-0.93995611 10
 
0.1%
0.17767079 9
 
0.1%
0.22156803 8
 
0.1%
0.17961805 8
 
0.1%
0.3070928 8
 
0.1%
Other values (5442) 7063
96.1%
ValueCountFrequency (%)
-1 184
2.5%
-0.9782363 29
 
0.4%
-0.96166098 11
 
0.1%
-0.9565019 3
 
< 0.1%
-0.94706246 11
 
0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9916291 1
< 0.1%
0.99010694 1
< 0.1%
0.98347802 1
< 0.1%
0.9828331 1
< 0.1%

tBodyGyro-arCoeff()-X,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2198736587
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative5625
Negative (%)76.5%
Memory size57.6 KiB
2025-03-02T10:03:36.461541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.657500081
Q1-0.4311215575
median-0.237478085
Q3-0.01626257875
95-th percentile0.266421009
Maximum1
Range2
Interquartile range (IQR)0.4148589787

Descriptive statistics

Standard deviation0.2843472796
Coefficient of variation (CV)-1.293230309
Kurtosis-0.3592249566
Mean-0.2198736587
Median Absolute Deviation (MAD)0.206498115
Skewness0.2244057064
Sum-1616.511139
Variance0.08085337543
MonotonicityNot monotonic
2025-03-02T10:03:36.510050image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.096323236 1
 
< 0.1%
-0.38032236 1
 
< 0.1%
-0.45725102 1
 
< 0.1%
-0.47760006 1
 
< 0.1%
-0.26325959 1
 
< 0.1%
-0.20346566 1
 
< 0.1%
-0.18719234 1
 
< 0.1%
-0.23069343 1
 
< 0.1%
-0.089315257 1
 
< 0.1%
-0.019159703 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.97922952 1
< 0.1%
-0.96537742 1
< 0.1%
-0.9525931 1
< 0.1%
-0.94389255 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94706937 1
< 0.1%
0.87337339 1
< 0.1%
0.84613975 1
< 0.1%
0.74178604 1
< 0.1%

tBodyGyro-arCoeff()-X,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1416659495
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative2165
Negative (%)29.4%
Memory size57.6 KiB
2025-03-02T10:03:36.556443image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2121821075
Q1-0.02876312525
median0.13253091
Q30.299566365
95-th percentile0.5343271725
Maximum1
Range2
Interquartile range (IQR)0.3283294903

Descriptive statistics

Standard deviation0.2317079739
Coefficient of variation (CV)1.635593979
Kurtosis0.01819231273
Mean0.1416659495
Median Absolute Deviation (MAD)0.1646156845
Skewness0.1410894861
Sum1041.52806
Variance0.05368858517
MonotonicityNot monotonic
2025-03-02T10:03:36.602862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.27498511 1
 
< 0.1%
0.080339325 1
 
< 0.1%
0.18215461 1
 
< 0.1%
0.20643565 1
 
< 0.1%
-0.1151307 1
 
< 0.1%
-0.15925177 1
 
< 0.1%
-0.11258705 1
 
< 0.1%
-0.0012260268 1
 
< 0.1%
-0.03371593 1
 
< 0.1%
-0.066140263 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.91554493 1
< 0.1%
-0.87790484 1
< 0.1%
-0.84545696 1
< 0.1%
-0.83929884 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99829526 1
< 0.1%
0.97900362 1
< 0.1%
0.97537322 1
< 0.1%
0.96290272 1
< 0.1%

tBodyGyro-arCoeff()-X,3
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1391168959
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1848
Negative (%)25.1%
Memory size57.6 KiB
2025-03-02T10:03:36.649934image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2533290455
Q1-0.0007463585225
median0.154528515
Q30.291840145
95-th percentile0.48078027
Maximum1
Range2
Interquartile range (IQR)0.2925865035

Descriptive statistics

Standard deviation0.2270707474
Coefficient of variation (CV)1.632229831
Kurtosis0.6597798722
Mean0.1391168959
Median Absolute Deviation (MAD)0.1456368842
Skewness-0.3697972531
Sum1022.787419
Variance0.05156112434
MonotonicityNot monotonic
2025-03-02T10:03:36.697150image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.16647205 2
 
< 0.1%
0.49864419 1
 
< 0.1%
0.052455056 1
 
< 0.1%
0.12482703 1
 
< 0.1%
0.093038387 1
 
< 0.1%
0.18057977 1
 
< 0.1%
0.5379625 1
 
< 0.1%
0.45077802 1
 
< 0.1%
0.23256199 1
 
< 0.1%
0.23132269 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.91891284 1
< 0.1%
-0.87445645 1
< 0.1%
-0.86622667 1
< 0.1%
-0.84337562 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97546858 1
< 0.1%
0.94788495 1
< 0.1%
0.88210217 1
< 0.1%
0.86894515 1
< 0.1%

tBodyGyro-arCoeff()-X,4
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08536210222
Minimum-0.96659121
Maximum0.85273955
Zeros0
Zeros (%)0.0%
Negative4652
Negative (%)63.3%
Memory size57.6 KiB
2025-03-02T10:03:36.827231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.96659121
5-th percentile-0.479776613
Q1-0.2545482
median-0.0827295885
Q30.07864196175
95-th percentile0.313679578
Maximum0.85273955
Range1.81933076
Interquartile range (IQR)0.3331901617

Descriptive statistics

Standard deviation0.2436973731
Coefficient of variation (CV)-2.854866115
Kurtosis0.03547928376
Mean-0.08536210222
Median Absolute Deviation (MAD)0.166225782
Skewness0.02216632389
Sum-627.5821755
Variance0.05938840967
MonotonicityNot monotonic
2025-03-02T10:03:36.871079image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.29608727 2
 
< 0.1%
0.14846233 2
 
< 0.1%
0.20134831 1
 
< 0.1%
0.16585232 1
 
< 0.1%
-0.04593906 1
 
< 0.1%
-0.08006293 1
 
< 0.1%
0.1015194 1
 
< 0.1%
0.34198769 1
 
< 0.1%
0.15458161 1
 
< 0.1%
0.42047366 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-0.96659121 1
< 0.1%
-0.92765188 1
< 0.1%
-0.92122637 1
< 0.1%
-0.91292126 1
< 0.1%
-0.89048094 1
< 0.1%
ValueCountFrequency (%)
0.85273955 1
< 0.1%
0.80673653 1
< 0.1%
0.80442059 1
< 0.1%
0.78211169 1
< 0.1%
0.74472573 1
< 0.1%

tBodyGyro-arCoeff()-Y,1
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2031301246
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6097
Negative (%)82.9%
Memory size57.6 KiB
2025-03-02T10:03:36.916807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.545395215
Q1-0.3499600425
median-0.20751368
Q3-0.05923738
95-th percentile0.1495333495
Maximum1
Range2
Interquartile range (IQR)0.2907226625

Descriptive statistics

Standard deviation0.212162503
Coefficient of variation (CV)-1.044465972
Kurtosis0.2423004123
Mean-0.2031301246
Median Absolute Deviation (MAD)0.1453937095
Skewness0.1470070518
Sum-1493.412676
Variance0.04501292768
MonotonicityNot monotonic
2025-03-02T10:03:36.964361image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.47233295 2
 
< 0.1%
1 1
 
< 0.1%
-0.12563138 1
 
< 0.1%
-0.66196807 1
 
< 0.1%
-0.63607467 1
 
< 0.1%
-0.57377968 1
 
< 0.1%
-0.3296758 1
 
< 0.1%
-0.31729782 1
 
< 0.1%
0.037117746 1
 
< 0.1%
0.039496424 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.90894323 1
< 0.1%
-0.88759049 1
< 0.1%
-0.87117913 1
< 0.1%
-0.85935453 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96045219 1
< 0.1%
0.82207571 1
< 0.1%
0.79782821 1
< 0.1%
0.73835186 1
< 0.1%

tBodyGyro-arCoeff()-Y,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1645243284
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1501
Negative (%)20.4%
Memory size57.6 KiB
2025-03-02T10:03:37.014949image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.134464459
Q10.027980874
median0.159567505
Q30.2963633875
95-th percentile0.487765126
Maximum1
Range2
Interquartile range (IQR)0.2683825135

Descriptive statistics

Standard deviation0.1943833688
Coefficient of variation (CV)1.181487083
Kurtosis0.4581775813
Mean0.1645243284
Median Absolute Deviation (MAD)0.1333453195
Skewness0.014074556
Sum1209.582862
Variance0.03778489406
MonotonicityNot monotonic
2025-03-02T10:03:37.061871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.97297139 1
 
< 0.1%
0.37339329 1
 
< 0.1%
0.67626597 1
 
< 0.1%
0.6898255 1
 
< 0.1%
0.59731789 1
 
< 0.1%
0.2034317 1
 
< 0.1%
0.23419458 1
 
< 0.1%
0.01350021 1
 
< 0.1%
-0.091165709 1
 
< 0.1%
0.044006462 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.97297139 1
< 0.1%
-0.87435466 1
< 0.1%
-0.79285822 1
< 0.1%
-0.75658131 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89465987 1
< 0.1%
0.82091243 1
< 0.1%
0.79720926 1
< 0.1%
0.7956232 1
< 0.1%

tBodyGyro-arCoeff()-Y,3
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.0355002922
Minimum-0.96253937
Maximum1
Zeros0
Zeros (%)0.0%
Negative4060
Negative (%)55.2%
Memory size57.6 KiB
2025-03-02T10:03:37.109053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.96253937
5-th percentile-0.40957747
Q1-0.1826675675
median-0.0311851235
Q30.1206728
95-th percentile0.3183199955
Maximum1
Range1.96253937
Interquartile range (IQR)0.3033403675

Descriptive statistics

Standard deviation0.2253666255
Coefficient of variation (CV)-6.348303397
Kurtosis0.305000423
Mean-0.0355002922
Median Absolute Deviation (MAD)0.1517528385
Skewness-0.07354944759
Sum-260.9981482
Variance0.05079011591
MonotonicityNot monotonic
2025-03-02T10:03:37.156110image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.22140464 2
 
< 0.1%
0.31665451 1
 
< 0.1%
-0.14880449 1
 
< 0.1%
-0.41449399 1
 
< 0.1%
-0.73524474 1
 
< 0.1%
-0.75998326 1
 
< 0.1%
-0.59578489 1
 
< 0.1%
-0.051566679 1
 
< 0.1%
-0.10200118 1
 
< 0.1%
0.14180538 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.96253937 1
< 0.1%
-0.85657458 1
< 0.1%
-0.81433365 1
< 0.1%
-0.81231434 1
< 0.1%
-0.79472523 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.961506 1
< 0.1%
0.88765754 1
< 0.1%
0.88343249 1
< 0.1%
0.8390101 1
< 0.1%

tBodyGyro-arCoeff()-Y,4
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1382314981
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1847
Negative (%)25.1%
Memory size57.6 KiB
2025-03-02T10:03:37.202898image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2002220875
Q1-0.000974806975
median0.14060683
Q30.2802365025
95-th percentile0.473869539
Maximum1
Range2
Interquartile range (IQR)0.2812113095

Descriptive statistics

Standard deviation0.2089465775
Coefficient of variation (CV)1.511569942
Kurtosis0.2734986187
Mean0.1382314981
Median Absolute Deviation (MAD)0.1406791712
Skewness-0.1038390847
Sum1016.277974
Variance0.04365867223
MonotonicityNot monotonic
2025-03-02T10:03:37.250053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.42109971 2
 
< 0.1%
0.37572641 1
 
< 0.1%
0.62228003 1
 
< 0.1%
0.5896476 1
 
< 0.1%
0.64887146 1
 
< 0.1%
0.54859047 1
 
< 0.1%
0.19870029 1
 
< 0.1%
0.18680473 1
 
< 0.1%
0.055554328 1
 
< 0.1%
0.14878618 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.82390494 1
< 0.1%
-0.76944373 1
< 0.1%
-0.74254589 1
< 0.1%
-0.74183717 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.88832464 1
< 0.1%
0.82987684 1
< 0.1%
0.79926735 1
< 0.1%
0.77850639 1
< 0.1%

tBodyGyro-arCoeff()-Z,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08057115452
Minimum-0.90717752
Maximum0.86609404
Zeros0
Zeros (%)0.0%
Negative4379
Negative (%)59.6%
Memory size57.6 KiB
2025-03-02T10:03:37.295401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.90717752
5-th percentile-0.556321084
Q1-0.3354
median-0.105087695
Q30.176198535
95-th percentile0.4444420735
Maximum0.86609404
Range1.77327156
Interquartile range (IQR)0.511598535

Descriptive statistics

Standard deviation0.3177420947
Coefficient of variation (CV)-3.943620971
Kurtosis-0.8242738573
Mean-0.08057115452
Median Absolute Deviation (MAD)0.25065455
Skewness0.1668600348
Sum-592.359128
Variance0.1009600387
MonotonicityNot monotonic
2025-03-02T10:03:37.338935image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.72339919 1
 
< 0.1%
-0.12273098 1
 
< 0.1%
-0.30649995 1
 
< 0.1%
-0.3760203 1
 
< 0.1%
-0.23575279 1
 
< 0.1%
0.040259284 1
 
< 0.1%
-0.1964219 1
 
< 0.1%
-0.059364812 1
 
< 0.1%
-0.041777809 1
 
< 0.1%
0.042374437 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.90717752 1
< 0.1%
-0.90076918 1
< 0.1%
-0.88739823 1
< 0.1%
-0.8761534 1
< 0.1%
-0.86933312 1
< 0.1%
ValueCountFrequency (%)
0.86609404 1
< 0.1%
0.80411341 1
< 0.1%
0.78976921 1
< 0.1%
0.77495988 1
< 0.1%
0.76511147 1
< 0.1%

tBodyGyro-arCoeff()-Z,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06217366524
Minimum-0.92338795
Maximum0.94520707
Zeros0
Zeros (%)0.0%
Negative3261
Negative (%)44.4%
Memory size57.6 KiB
2025-03-02T10:03:37.383981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.92338795
5-th percentile-0.372750994
Q1-0.180126885
median0.062439134
Q30.29286139
95-th percentile0.5254516885
Maximum0.94520707
Range1.86859502
Interquartile range (IQR)0.472988275

Descriptive statistics

Standard deviation0.2873470969
Coefficient of variation (CV)4.621685015
Kurtosis-0.8515255949
Mean0.06217366524
Median Absolute Deviation (MAD)0.236350615
Skewness0.07074205676
Sum457.1007868
Variance0.08256835412
MonotonicityNot monotonic
2025-03-02T10:03:37.432525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.77111201 1
 
< 0.1%
-0.13716885 1
 
< 0.1%
0.023553575 1
 
< 0.1%
0.19393814 1
 
< 0.1%
-0.046234043 1
 
< 0.1%
-0.34918765 1
 
< 0.1%
0.0076380365 1
 
< 0.1%
-0.079037903 1
 
< 0.1%
-0.062055845 1
 
< 0.1%
-0.096116819 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.92338795 1
< 0.1%
-0.92124818 1
< 0.1%
-0.77111201 1
< 0.1%
-0.68189445 1
< 0.1%
-0.66944889 1
< 0.1%
ValueCountFrequency (%)
0.94520707 1
< 0.1%
0.85968515 1
< 0.1%
0.84569377 1
< 0.1%
0.83201217 1
< 0.1%
0.82305935 1
< 0.1%

tBodyGyro-arCoeff()-Z,3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.004121922211
Minimum-0.94730392
Maximum1
Zeros0
Zeros (%)0.0%
Negative3525
Negative (%)47.9%
Memory size57.6 KiB
2025-03-02T10:03:37.478349image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.94730392
5-th percentile-0.469241539
Q1-0.193364165
median0.0155183665
Q30.19515242
95-th percentile0.4023676255
Maximum1
Range1.94730392
Interquartile range (IQR)0.388516585

Descriptive statistics

Standard deviation0.2695558428
Coefficient of variation (CV)-65.39566468
Kurtosis-0.2390820691
Mean-0.004121922211
Median Absolute Deviation (MAD)0.1931299615
Skewness-0.2449151947
Sum-30.30437209
Variance0.07266035236
MonotonicityNot monotonic
2025-03-02T10:03:37.525301image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.69021323 1
 
< 0.1%
0.088044599 1
 
< 0.1%
0.20420659 1
 
< 0.1%
0.12293426 1
 
< 0.1%
0.42995931 1
 
< 0.1%
0.34670271 1
 
< 0.1%
-0.08940162 1
 
< 0.1%
0.092588141 1
 
< 0.1%
0.11623904 1
 
< 0.1%
0.24460183 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.94730392 1
< 0.1%
-0.92649288 1
< 0.1%
-0.9029731 1
< 0.1%
-0.8707919 1
< 0.1%
-0.85810541 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97450359 1
< 0.1%
0.9707112 1
< 0.1%
0.8960613 1
< 0.1%
0.86541135 1
< 0.1%

tBodyGyro-arCoeff()-Z,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1482240836
Minimum-1
Maximum0.98513795
Zeros0
Zeros (%)0.0%
Negative2145
Negative (%)29.2%
Memory size57.6 KiB
2025-03-02T10:03:37.571081image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.27151312
Q1-0.0313730765
median0.14692726
Q30.325761625
95-th percentile0.5788987995
Maximum0.98513795
Range1.98513795
Interquartile range (IQR)0.3571347015

Descriptive statistics

Standard deviation0.2614893411
Coefficient of variation (CV)1.764148813
Kurtosis0.009097626888
Mean0.1482240836
Median Absolute Deviation (MAD)0.178826645
Skewness-0.005381482036
Sum1089.743463
Variance0.06837667553
MonotonicityNot monotonic
2025-03-02T10:03:37.620061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.33183104 1
 
< 0.1%
0.43875725 1
 
< 0.1%
0.088556621 1
 
< 0.1%
-0.012122055 1
 
< 0.1%
-0.19749148 1
 
< 0.1%
0.30966997 1
 
< 0.1%
0.51614641 1
 
< 0.1%
0.24670742 1
 
< 0.1%
0.14804174 1
 
< 0.1%
-0.11281399 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.977481 1
< 0.1%
-0.82041645 1
< 0.1%
-0.80878003 1
< 0.1%
-0.79571649 1
< 0.1%
ValueCountFrequency (%)
0.98513795 1
< 0.1%
0.95572619 1
< 0.1%
0.95167894 1
< 0.1%
0.95027029 1
< 0.1%
0.94418102 1
< 0.1%
Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1731341146
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4965
Negative (%)67.5%
Memory size57.6 KiB
2025-03-02T10:03:37.667241image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.788618015
Q1-0.45295522
median-0.19033424
Q30.09058058
95-th percentile0.504859533
Maximum1
Range2
Interquartile range (IQR)0.5435358

Descriptive statistics

Standard deviation0.3896812139
Coefficient of variation (CV)-2.250747721
Kurtosis-0.2576858154
Mean-0.1731341146
Median Absolute Deviation (MAD)0.2716994235
Skewness0.2766844053
Sum-1272.882011
Variance0.1518514485
MonotonicityNot monotonic
2025-03-02T10:03:37.715028image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.26377889 2
 
< 0.1%
0.70958377 1
 
< 0.1%
-0.36954407 1
 
< 0.1%
0.04783288 1
 
< 0.1%
0.49683456 1
 
< 0.1%
-0.10025556 1
 
< 0.1%
-0.30390902 1
 
< 0.1%
-0.70910931 1
 
< 0.1%
-0.7358844 1
 
< 0.1%
0.099684585 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99094745 1
< 0.1%
-0.99019833 1
< 0.1%
-0.99018254 1
< 0.1%
-0.98993112 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98721652 1
< 0.1%
0.98074561 1
< 0.1%
0.97483319 1
< 0.1%
0.97154661 1
< 0.1%

tBodyGyro-correlation()-X,Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001006595929
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3860
Negative (%)52.5%
Memory size57.6 KiB
2025-03-02T10:03:37.761817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.644660182
Q1-0.25448604
median-0.022050707
Q30.250337405
95-th percentile0.7109440355
Maximum1
Range2
Interquartile range (IQR)0.504823445

Descriptive statistics

Standard deviation0.3929893829
Coefficient of variation (CV)390.4142384
Kurtosis-0.1775169367
Mean0.001006595929
Median Absolute Deviation (MAD)0.249849893
Skewness0.1830613016
Sum7.400493267
Variance0.154440655
MonotonicityNot monotonic
2025-03-02T10:03:37.810114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.13487336 1
 
< 0.1%
-0.98658798 1
 
< 0.1%
-0.85653549 1
 
< 0.1%
-0.46838269 1
 
< 0.1%
-0.74457074 1
 
< 0.1%
-0.99493678 1
 
< 0.1%
-0.99751957 1
 
< 0.1%
-0.91154695 1
 
< 0.1%
-0.7989447 1
 
< 0.1%
-0.64432531 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99787476 1
< 0.1%
-0.99751957 1
< 0.1%
-0.99493678 1
< 0.1%
-0.98658798 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99939446 1
< 0.1%
0.998729 1
< 0.1%
0.99861407 1
< 0.1%
0.99818519 1
< 0.1%

tBodyGyro-correlation()-Y,Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1175385017
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4379
Negative (%)59.6%
Memory size57.6 KiB
2025-03-02T10:03:37.855716image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8231796585
Q1-0.4384088125
median-0.113191315
Q30.18861262
95-th percentile0.5965321625
Maximum1
Range2
Interquartile range (IQR)0.6270214325

Descriptive statistics

Standard deviation0.4288071611
Coefficient of variation (CV)-3.648227217
Kurtosis-0.7028922415
Mean-0.1175385017
Median Absolute Deviation (MAD)0.312728875
Skewness0.05758851507
Sum-864.1430649
Variance0.1838755814
MonotonicityNot monotonic
2025-03-02T10:03:37.902190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.30109948 1
 
< 0.1%
0.18688793 1
 
< 0.1%
-0.85078414 1
 
< 0.1%
-0.79775892 1
 
< 0.1%
-0.38332702 1
 
< 0.1%
0.63444367 1
 
< 0.1%
0.68402509 1
 
< 0.1%
-0.34159746 1
 
< 0.1%
-0.65713131 1
 
< 0.1%
-0.67667584 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999771 1
< 0.1%
-0.99759916 1
< 0.1%
-0.99707913 1
< 0.1%
-0.99625882 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99709807 1
< 0.1%
0.99618602 1
< 0.1%
0.98606711 1
< 0.1%
0.97849404 1
< 0.1%

tBodyGyroJerk-mean()-X
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.09788480058
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6396
Negative (%)87.0%
Memory size57.6 KiB
2025-03-02T10:03:37.947862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3047154375
Q1-0.116957765
median-0.098306709
Q3-0.08070604725
95-th percentile0.1185237765
Maximum1
Range2
Interquartile range (IQR)0.03625171775

Descriptive statistics

Standard deviation0.1275166037
Coefficient of variation (CV)-1.302721188
Kurtosis7.131753156
Mean-0.09788480058
Median Absolute Deviation (MAD)0.0179428185
Skewness0.02662772467
Sum-719.6490539
Variance0.01626048422
MonotonicityNot monotonic
2025-03-02T10:03:37.994865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0991674 1
 
< 0.1%
-0.11901838 1
 
< 0.1%
-0.078970404 1
 
< 0.1%
-0.1258081 1
 
< 0.1%
-0.075118585 1
 
< 0.1%
-0.07533597 1
 
< 0.1%
-0.13186653 1
 
< 0.1%
-0.11185912 1
 
< 0.1%
-0.089002017 1
 
< 0.1%
-0.099184543 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.96897595 1
< 0.1%
-0.95914296 1
< 0.1%
-0.87193864 1
< 0.1%
-0.79429092 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.69473717 1
< 0.1%
0.6947136 1
< 0.1%
0.69187887 1
< 0.1%
0.60412689 1
< 0.1%

tBodyGyroJerk-mean()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04245004441
Minimum-1
Maximum0.84803136
Zeros0
Zeros (%)0.0%
Negative6037
Negative (%)82.1%
Memory size57.6 KiB
2025-03-02T10:03:38.122119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.239258778
Q1-0.0590169955
median-0.0406242075
Q3-0.02557181075
95-th percentile0.148489698
Maximum0.84803136
Range1.84803136
Interquartile range (IQR)0.03344518475

Descriptive statistics

Standard deviation0.1170270509
Coefficient of variation (CV)-2.756818102
Kurtosis7.62697861
Mean-0.04245004441
Median Absolute Deviation (MAD)0.016198475
Skewness0.08353676174
Sum-312.0927265
Variance0.01369533063
MonotonicityNot monotonic
2025-03-02T10:03:38.166796image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.055517369 1
 
< 0.1%
-0.042360143 1
 
< 0.1%
-0.014436826 1
 
< 0.1%
-0.037177468 1
 
< 0.1%
-0.072374395 1
 
< 0.1%
-0.040984014 1
 
< 0.1%
-0.032858921 1
 
< 0.1%
-0.04712696 1
 
< 0.1%
-0.047575554 1
 
< 0.1%
-0.036752757 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.87106661 1
< 0.1%
-0.8364198 1
< 0.1%
-0.78104645 1
< 0.1%
-0.71619003 1
< 0.1%
ValueCountFrequency (%)
0.84803136 1
< 0.1%
0.72987435 1
< 0.1%
0.72066535 1
< 0.1%
0.65512045 1
< 0.1%
0.64183158 1
< 0.1%

tBodyGyroJerk-mean()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05432491245
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative5967
Negative (%)81.2%
Memory size57.6 KiB
2025-03-02T10:03:38.211987image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.2695575255
Q1-0.0783699835
median-0.0545842825
Q3-0.03242872
95-th percentile0.1596059255
Maximum1
Range2
Interquartile range (IQR)0.0459412635

Descriptive statistics

Standard deviation0.1301988859
Coefficient of variation (CV)-2.396669962
Kurtosis6.986496898
Mean-0.05432491245
Median Absolute Deviation (MAD)0.022976461
Skewness0.1562422004
Sum-399.3967564
Variance0.01695174988
MonotonicityNot monotonic
2025-03-02T10:03:38.259351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.061985797 1
 
< 0.1%
-0.042641187 1
 
< 0.1%
-0.078289081 1
 
< 0.1%
-0.044129752 1
 
< 0.1%
-0.050910163 1
 
< 0.1%
-0.063387126 1
 
< 0.1%
-0.042225222 1
 
< 0.1%
-0.040434532 1
 
< 0.1%
-0.059335338 1
 
< 0.1%
-0.05661084 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.82152497 1
< 0.1%
-0.81632111 1
< 0.1%
-0.81442675 1
< 0.1%
-0.74947975 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87958466 1
< 0.1%
0.86977548 1
< 0.1%
0.82716746 1
< 0.1%
0.78568671 1
< 0.1%

tBodyGyroJerk-std()-X
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7300425348
Minimum-0.99988263
Maximum1
Zeros0
Zeros (%)0.0%
Negative7206
Negative (%)98.0%
Memory size57.6 KiB
2025-03-02T10:03:38.305953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99988263
5-th percentile-0.997552712
Q1-0.9913976375
median-0.943215975
Q3-0.484105735
95-th percentile-0.1803608225
Maximum1
Range1.99988263
Interquartile range (IQR)0.5072919025

Descriptive statistics

Standard deviation0.3116439184
Coefficient of variation (CV)-0.4268846041
Kurtosis0.1524786073
Mean-0.7300425348
Median Absolute Deviation (MAD)0.05463592
Skewness0.9333874299
Sum-5367.272716
Variance0.09712193188
MonotonicityNot monotonic
2025-03-02T10:03:38.353965image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98100729 2
 
< 0.1%
-0.94514723 2
 
< 0.1%
-0.99718977 2
 
< 0.1%
-0.99636305 2
 
< 0.1%
-0.99681651 2
 
< 0.1%
-0.988522 1
 
< 0.1%
-0.93299676 1
 
< 0.1%
-0.91216767 1
 
< 0.1%
-0.93689989 1
 
< 0.1%
-0.97572572 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-0.99988263 1
< 0.1%
-0.99981405 1
< 0.1%
-0.99979705 1
< 0.1%
-0.99979571 1
< 0.1%
-0.99977796 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.864381 1
< 0.1%
0.8187634 1
< 0.1%
0.67449104 1
< 0.1%
0.635811 1
< 0.1%

tBodyGyroJerk-std()-Y
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7839327887
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7191
Negative (%)97.8%
Memory size57.6 KiB
2025-03-02T10:03:38.399431image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9977401115
Q1-0.9929437525
median-0.95965574
Q3-0.62934569
95-th percentile-0.2434448845
Maximum1
Range2
Interquartile range (IQR)0.3635980625

Descriptive statistics

Standard deviation0.2825263482
Coefficient of variation (CV)-0.3603961364
Kurtosis3.52720262
Mean-0.7839327887
Median Absolute Deviation (MAD)0.038387405
Skewness1.700197564
Sum-5763.473862
Variance0.07982113745
MonotonicityNot monotonic
2025-03-02T10:03:38.446990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99582352 2
 
< 0.1%
-0.99722425 2
 
< 0.1%
-0.99565046 2
 
< 0.1%
-0.96867064 1
 
< 0.1%
-0.93933323 1
 
< 0.1%
-0.97579494 1
 
< 0.1%
-0.97798958 1
 
< 0.1%
-0.98456687 1
 
< 0.1%
-0.98945686 1
 
< 0.1%
-0.9852378 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999644 1
< 0.1%
-0.99995528 1
< 0.1%
-0.99987015 1
< 0.1%
-0.99976537 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98293766 1
< 0.1%
0.8033378 1
< 0.1%
0.72868121 1
< 0.1%
0.72185463 1
< 0.1%

tBodyGyroJerk-std()-Z
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.742128208
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7213
Negative (%)98.1%
Memory size57.6 KiB
2025-03-02T10:03:38.492325image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9970661125
Q1-0.9934686825
median-0.956112115
Q3-0.5082898375
95-th percentile-0.1974501225
Maximum1
Range2
Interquartile range (IQR)0.485178845

Descriptive statistics

Standard deviation0.3043608316
Coefficient of variation (CV)-0.4101189368
Kurtosis0.4280726889
Mean-0.742128208
Median Absolute Deviation (MAD)0.0412416
Skewness1.001322652
Sum-5456.126585
Variance0.09263551582
MonotonicityNot monotonic
2025-03-02T10:03:38.539037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99646416 2
 
< 0.1%
-0.99301968 2
 
< 0.1%
-0.99644177 2
 
< 0.1%
-0.99558745 2
 
< 0.1%
-0.99534198 2
 
< 0.1%
-0.99205528 1
 
< 0.1%
-0.95458262 1
 
< 0.1%
-0.95612706 1
 
< 0.1%
-0.97033602 1
 
< 0.1%
-0.97779767 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99970178 1
< 0.1%
-0.99938127 1
< 0.1%
-0.99929985 1
< 0.1%
-0.99927801 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97308219 1
< 0.1%
0.58532281 1
< 0.1%
0.55261934 1
< 0.1%
0.54121246 1
< 0.1%

tBodyGyroJerk-mad()-X
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7277346062
Minimum-0.9998892
Maximum1
Zeros0
Zeros (%)0.0%
Negative7188
Negative (%)97.8%
Memory size57.6 KiB
2025-03-02T10:03:38.583871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9998892
5-th percentile-0.997475115
Q1-0.99159523
median-0.950268325
Q3-0.474624885
95-th percentile-0.169766517
Maximum1
Range1.9998892
Interquartile range (IQR)0.516970345

Descriptive statistics

Standard deviation0.3158320362
Coefficient of variation (CV)-0.4339934276
Kurtosis0.06837958431
Mean-0.7277346062
Median Absolute Deviation (MAD)0.04756274
Skewness0.917330846
Sum-5350.304825
Variance0.09974987507
MonotonicityNot monotonic
2025-03-02T10:03:38.631112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9932653 2
 
< 0.1%
-0.99679815 2
 
< 0.1%
-0.99635925 2
 
< 0.1%
-0.99693413 2
 
< 0.1%
-0.94262879 1
 
< 0.1%
-0.96718901 1
 
< 0.1%
-0.93919228 1
 
< 0.1%
-0.90752435 1
 
< 0.1%
-0.93822411 1
 
< 0.1%
-0.9755215 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-0.9998892 1
< 0.1%
-0.9998297 1
< 0.1%
-0.999783 1
< 0.1%
-0.99977818 1
< 0.1%
-0.99971553 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.82735076 1
< 0.1%
0.7703268 1
< 0.1%
0.61467622 1
< 0.1%
0.59603496 1
< 0.1%

tBodyGyroJerk-mad()-Y
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7940786355
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7224
Negative (%)98.3%
Memory size57.6 KiB
2025-03-02T10:03:38.677529image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9977994585
Q1-0.9933278
median-0.965817185
Q3-0.6424242125
95-th percentile-0.278450037
Maximum1
Range2
Interquartile range (IQR)0.3509035875

Descriptive statistics

Standard deviation0.2675637376
Coefficient of variation (CV)-0.3369486668
Kurtosis3.063755243
Mean-0.7940786355
Median Absolute Deviation (MAD)0.032213935
Skewness1.611315979
Sum-5838.066128
Variance0.07159035367
MonotonicityNot monotonic
2025-03-02T10:03:38.727193image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9906973 2
 
< 0.1%
-0.99704696 2
 
< 0.1%
-0.99711567 2
 
< 0.1%
-0.99494156 1
 
< 0.1%
-0.95486423 1
 
< 0.1%
-0.945742 1
 
< 0.1%
-0.96054938 1
 
< 0.1%
-0.97600632 1
 
< 0.1%
-0.97976554 1
 
< 0.1%
-0.98541569 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998709 1
< 0.1%
-0.99994953 1
< 0.1%
-0.99992896 1
< 0.1%
-0.99989741 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90601376 1
< 0.1%
0.66911941 1
< 0.1%
0.64415224 1
< 0.1%
0.54106143 1
< 0.1%

tBodyGyroJerk-mad()-Z
Real number (ℝ)

Distinct7344
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7481629186
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7248
Negative (%)98.6%
Memory size57.6 KiB
2025-03-02T10:03:38.774087image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9970814135
Q1-0.9936456725
median-0.962290475
Q3-0.5116444175
95-th percentile-0.2245606695
Maximum1
Range2
Interquartile range (IQR)0.482001255

Descriptive statistics

Standard deviation0.2962039581
Coefficient of variation (CV)-0.3959083653
Kurtosis0.1364616638
Mean-0.7481629186
Median Absolute Deviation (MAD)0.035056085
Skewness0.9308753003
Sum-5500.493778
Variance0.08773678479
MonotonicityNot monotonic
2025-03-02T10:03:38.822672image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99580898 2
 
< 0.1%
-0.99590503 2
 
< 0.1%
-0.99697062 2
 
< 0.1%
-0.99631805 2
 
< 0.1%
-0.99677096 2
 
< 0.1%
-0.99612572 2
 
< 0.1%
-0.99448177 2
 
< 0.1%
-0.99692424 2
 
< 0.1%
-0.9906034 1
 
< 0.1%
-0.98837626 1
 
< 0.1%
Other values (7334) 7334
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99978332 1
< 0.1%
-0.99945709 1
< 0.1%
-0.99938786 1
< 0.1%
-0.99924558 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96705496 1
< 0.1%
0.44278013 1
< 0.1%
0.44013202 1
< 0.1%
0.36395456 1
< 0.1%

tBodyGyroJerk-max()-X
Real number (ℝ)

Distinct5238
Distinct (%)71.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7509965469
Minimum-1
Maximum0.92841647
Zeros0
Zeros (%)0.0%
Negative7246
Negative (%)98.6%
Memory size57.6 KiB
2025-03-02T10:03:38.868297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997637881
Q1-0.99112151
median-0.93603194
Q3-0.54473676
95-th percentile-0.2105547395
Maximum0.92841647
Range1.92841647
Interquartile range (IQR)0.44638475

Descriptive statistics

Standard deviation0.2922631939
Coefficient of variation (CV)-0.3891671608
Kurtosis1.025700209
Mean-0.7509965469
Median Absolute Deviation (MAD)0.06189778
Skewness1.131732823
Sum-5521.326613
Variance0.0854177745
MonotonicityNot monotonic
2025-03-02T10:03:38.915776image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99641985 4
 
0.1%
-0.53343939 2
 
< 0.1%
-0.48097377 2
 
< 0.1%
-0.54819702 2
 
< 0.1%
-0.52176748 2
 
< 0.1%
-0.58374243 2
 
< 0.1%
-0.56730046 2
 
< 0.1%
-0.51819947 2
 
< 0.1%
-0.23948144 2
 
< 0.1%
-0.11608066 2
 
< 0.1%
Other values (5228) 7330
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99987364 1
< 0.1%
-0.99986399 1
< 0.1%
-0.99982698 1
< 0.1%
-0.99973196 1
< 0.1%
ValueCountFrequency (%)
0.92841647 2
< 0.1%
0.74299402 2
< 0.1%
0.65654268 1
< 0.1%
0.63477919 2
< 0.1%
0.57754452 2
< 0.1%

tBodyGyroJerk-max()-Y
Real number (ℝ)

Distinct5273
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8084083756
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7204
Negative (%)98.0%
Memory size57.6 KiB
2025-03-02T10:03:38.961590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.998047872
Q1-0.993406955
median-0.9579675
Q3-0.68716862
95-th percentile-0.30341188
Maximum1
Range2
Interquartile range (IQR)0.306238335

Descriptive statistics

Standard deviation0.2622247704
Coefficient of variation (CV)-0.3243716645
Kurtosis5.548192488
Mean-0.8084083756
Median Absolute Deviation (MAD)0.040487905
Skewness2.053598461
Sum-5943.418378
Variance0.06876183022
MonotonicityNot monotonic
2025-03-02T10:03:39.009479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99705033 3
 
< 0.1%
-0.99066376 2
 
< 0.1%
-0.97566088 2
 
< 0.1%
-0.91249104 2
 
< 0.1%
-0.99399414 2
 
< 0.1%
-0.70512475 2
 
< 0.1%
-0.70103229 2
 
< 0.1%
-0.99620407 2
 
< 0.1%
-0.9918683 2
 
< 0.1%
-0.99784602 2
 
< 0.1%
Other values (5263) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99995717 1
< 0.1%
-0.99974815 1
< 0.1%
-0.99972097 1
< 0.1%
-0.99968054 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.91660496 1
< 0.1%
0.76848781 2
< 0.1%
0.73738439 2
< 0.1%
0.65475608 2
< 0.1%

tBodyGyroJerk-max()-Z
Real number (ℝ)

Distinct5309
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7471543973
Minimum-1
Maximum0.97903145
Zeros0
Zeros (%)0.0%
Negative7216
Negative (%)98.2%
Memory size57.6 KiB
2025-03-02T10:03:39.055444image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99649301
Q1-0.9916637275
median-0.9451075
Q3-0.53166652
95-th percentile-0.180463673
Maximum0.97903145
Range1.97903145
Interquartile range (IQR)0.4599972075

Descriptive statistics

Standard deviation0.3017895941
Coefficient of variation (CV)-0.4039186481
Kurtosis1.323250044
Mean-0.7471543973
Median Absolute Deviation (MAD)0.051702925
Skewness1.195615021
Sum-5493.079129
Variance0.09107695909
MonotonicityNot monotonic
2025-03-02T10:03:39.102552image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99509949 3
 
< 0.1%
-0.99511132 3
 
< 0.1%
-0.34206305 2
 
< 0.1%
-0.4501388 2
 
< 0.1%
-0.27417021 2
 
< 0.1%
-0.42300161 2
 
< 0.1%
-0.46262778 2
 
< 0.1%
-0.3098318 2
 
< 0.1%
-0.35041023 2
 
< 0.1%
-0.18043856 2
 
< 0.1%
Other values (5299) 7330
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99942102 1
< 0.1%
-0.9993324 1
< 0.1%
-0.9992864 1
< 0.1%
-0.9992449 1
< 0.1%
ValueCountFrequency (%)
0.97903145 2
< 0.1%
0.91220123 2
< 0.1%
0.7676662 2
< 0.1%
0.68198955 2
< 0.1%
0.65387704 2
< 0.1%

tBodyGyroJerk-min()-X
Real number (ℝ)

Distinct5272
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7595706249
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative103
Negative (%)1.4%
Memory size57.6 KiB
2025-03-02T10:03:39.147683image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.234431806
Q10.55870749
median0.94200615
Q30.99135656
95-th percentile0.99760354
Maximum1
Range2
Interquartile range (IQR)0.43264907

Descriptive statistics

Standard deviation0.2853836697
Coefficient of variation (CV)0.3757170964
Kurtosis1.559724601
Mean0.7595706249
Median Absolute Deviation (MAD)0.05607527
Skewness-1.217623452
Sum5584.363235
Variance0.08144383895
MonotonicityNot monotonic
2025-03-02T10:03:39.195006image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.99340252 2
 
< 0.1%
0.18315216 2
 
< 0.1%
0.97064058 2
 
< 0.1%
0.49385317 2
 
< 0.1%
0.25691653 2
 
< 0.1%
0.98890572 2
 
< 0.1%
0.44587679 2
 
< 0.1%
0.92832542 2
 
< 0.1%
0.97365343 2
 
< 0.1%
0.58210507 2
 
< 0.1%
Other values (5262) 7332
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.91840454 2
< 0.1%
-0.82806069 2
< 0.1%
-0.75428239 2
< 0.1%
-0.52051962 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99992843 1
< 0.1%
0.99990761 1
< 0.1%
0.99961458 1
< 0.1%
0.99961368 1
< 0.1%

tBodyGyroJerk-min()-Y
Real number (ℝ)

Distinct5300
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83043355
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative94
Negative (%)1.3%
Memory size57.6 KiB
2025-03-02T10:03:39.322183image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile0.377529871
Q10.72112093
median0.963906375
Q30.994416635
95-th percentile0.998414951
Maximum1
Range2
Interquartile range (IQR)0.273295705

Descriptive statistics

Standard deviation0.2314723937
Coefficient of variation (CV)0.2787368041
Kurtosis5.896160558
Mean0.83043355
Median Absolute Deviation (MAD)0.034767265
Skewness-2.061227546
Sum6105.34746
Variance0.05357946905
MonotonicityNot monotonic
2025-03-02T10:03:39.368808image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.99589662 3
 
< 0.1%
0.97971578 2
 
< 0.1%
0.81714724 2
 
< 0.1%
0.50477565 2
 
< 0.1%
-0.017744541 2
 
< 0.1%
0.99782058 2
 
< 0.1%
0.82411167 2
 
< 0.1%
0.73921243 2
 
< 0.1%
0.82303236 2
 
< 0.1%
0.99963812 2
 
< 0.1%
Other values (5290) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99442096 2
< 0.1%
-0.53668754 2
< 0.1%
-0.51021775 1
< 0.1%
-0.4521034 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99999475 1
< 0.1%
0.99999186 1
< 0.1%
0.99999135 1
< 0.1%
0.99998346 1
< 0.1%

tBodyGyroJerk-min()-Z
Real number (ℝ)

Distinct5276
Distinct (%)71.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8007455369
Minimum-0.7597897
Maximum1
Zeros0
Zeros (%)0.0%
Negative91
Negative (%)1.2%
Memory size57.6 KiB
2025-03-02T10:03:39.412897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.7597897
5-th percentile0.34454488
Q10.6463857975
median0.96088516
Q30.99425686
95-th percentile0.997641762
Maximum1
Range1.7597897
Interquartile range (IQR)0.3478710625

Descriptive statistics

Standard deviation0.2514598161
Coefficient of variation (CV)0.3140321169
Kurtosis3.192944496
Mean0.8007455369
Median Absolute Deviation (MAD)0.03708674
Skewness-1.551742359
Sum5887.081187
Variance0.06323203909
MonotonicityNot monotonic
2025-03-02T10:03:39.458226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.99536322 3
 
< 0.1%
0.98428252 2
 
< 0.1%
0.50376395 2
 
< 0.1%
0.73983404 2
 
< 0.1%
0.90124034 2
 
< 0.1%
0.99028876 2
 
< 0.1%
0.67890807 2
 
< 0.1%
0.99392606 2
 
< 0.1%
0.99631521 2
 
< 0.1%
0.99341006 2
 
< 0.1%
Other values (5266) 7331
99.7%
ValueCountFrequency (%)
-0.7597897 1
< 0.1%
-0.74545792 2
< 0.1%
-0.73682447 2
< 0.1%
-0.72099913 2
< 0.1%
-0.62452741 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99999681 1
< 0.1%
0.99979701 1
< 0.1%
0.99978721 1
< 0.1%
0.99941542 2
< 0.1%

tBodyGyroJerk-sma()
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7652842717
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7276
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:03:39.502755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9978715515
Q1-0.9935323025
median-0.96203496
Q3-0.549718645
95-th percentile-0.262687191
Maximum1
Range2
Interquartile range (IQR)0.4438136575

Descriptive statistics

Standard deviation0.2769888411
Coefficient of variation (CV)-0.3619424198
Kurtosis0.4636562602
Mean-0.7652842717
Median Absolute Deviation (MAD)0.036116325
Skewness0.9984374231
Sum-5626.369965
Variance0.07672281812
MonotonicityNot monotonic
2025-03-02T10:03:39.549848image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99706435 2
 
< 0.1%
-0.99311416 2
 
< 0.1%
-0.99506161 2
 
< 0.1%
-0.99825642 2
 
< 0.1%
-0.99861373 2
 
< 0.1%
-0.98407042 1
 
< 0.1%
-0.98767335 1
 
< 0.1%
-0.98900437 1
 
< 0.1%
-0.98903889 1
 
< 0.1%
-0.99445335 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99987206 1
< 0.1%
-0.99977424 1
< 0.1%
-0.99973461 1
< 0.1%
-0.9997068 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89565009 1
< 0.1%
0.53355928 1
< 0.1%
0.47080528 1
< 0.1%
0.44724689 1
< 0.1%

tBodyGyroJerk-energy()-X
Real number (ℝ)

Distinct7049
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9141825064
Minimum-0.99999952
Maximum1
Zeros0
Zeros (%)0.0%
Negative7339
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:39.594933image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999952
5-th percentile-0.999987109
Q1-0.999928545
median-0.998161685
Q3-0.8653488675
95-th percentile-0.662008893
Maximum1
Range1.99999952
Interquartile range (IQR)0.1345796775

Descriptive statistics

Standard deviation0.1413113329
Coefficient of variation (CV)-0.1545767195
Kurtosis18.6921444
Mean-0.9141825064
Median Absolute Deviation (MAD)0.00182981
Skewness3.187647153
Sum-6721.069787
Variance0.01996889279
MonotonicityNot monotonic
2025-03-02T10:03:39.641677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99996628 4
 
0.1%
-0.99998554 4
 
0.1%
-0.99998267 4
 
0.1%
-0.9999823 3
 
< 0.1%
-0.99998758 3
 
< 0.1%
-0.999962 3
 
< 0.1%
-0.99998472 3
 
< 0.1%
-0.99997329 3
 
< 0.1%
-0.99998009 3
 
< 0.1%
-0.99998373 3
 
< 0.1%
Other values (7039) 7319
99.6%
ValueCountFrequency (%)
-0.99999952 1
< 0.1%
-0.99999924 1
< 0.1%
-0.99999917 1
< 0.1%
-0.99999916 1
< 0.1%
-0.99999909 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.73847484 1
< 0.1%
0.6546854 1
< 0.1%
0.40435697 1
< 0.1%
0.3401624 1
< 0.1%

tBodyGyroJerk-energy()-Y
Real number (ℝ)

Distinct6903
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9363674866
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7320
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:39.688534image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999919145
Q1-0.9999579225
median-0.999087245
Q3-0.9305715
95-th percentile-0.712572823
Maximum1
Range2
Interquartile range (IQR)0.0693864225

Descriptive statistics

Standard deviation0.1445156152
Coefficient of variation (CV)-0.1543364302
Kurtosis33.50400367
Mean-0.9363674866
Median Absolute Deviation (MAD)0.00090729
Skewness4.88564271
Sum-6884.173761
Variance0.02088476304
MonotonicityNot monotonic
2025-03-02T10:03:39.735386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998802 5
 
0.1%
-0.99998225 5
 
0.1%
-0.99998929 4
 
0.1%
-0.99998838 4
 
0.1%
-0.99998941 4
 
0.1%
-0.99998683 4
 
0.1%
-0.99995113 4
 
0.1%
-0.99998842 4
 
0.1%
-0.99992751 4
 
0.1%
-0.99997805 4
 
0.1%
Other values (6893) 7310
99.4%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999999 1
< 0.1%
-0.99999989 1
< 0.1%
-0.99999967 1
< 0.1%
-0.9999994 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96613561 1
< 0.1%
0.62626737 1
< 0.1%
0.49450708 1
< 0.1%
0.48279051 1
< 0.1%

tBodyGyroJerk-energy()-Z
Real number (ℝ)

Distinct6992
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9193672526
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7335
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:39.783512image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999978568
Q1-0.9999391275
median-0.99878763
Q3-0.876945045
95-th percentile-0.6750792115
Maximum1
Range2
Interquartile range (IQR)0.1229940825

Descriptive statistics

Standard deviation0.1374095625
Coefficient of variation (CV)-0.1494610148
Kurtosis21.19894826
Mean-0.9193672526
Median Absolute Deviation (MAD)0.001195795
Skewness3.442240584
Sum-6759.188041
Variance0.01888138788
MonotonicityNot monotonic
2025-03-02T10:03:39.831819image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99994787 4
 
0.1%
-0.99997231 4
 
0.1%
-0.9999622 4
 
0.1%
-0.99996666 4
 
0.1%
-0.99996843 4
 
0.1%
-0.99996696 4
 
0.1%
-0.99998324 4
 
0.1%
-0.99996762 4
 
0.1%
-0.99997549 3
 
< 0.1%
-0.99996033 3
 
< 0.1%
Other values (6982) 7314
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999825 1
< 0.1%
-0.99999626 1
< 0.1%
-0.99999575 1
< 0.1%
-0.9999951 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94673047 1
< 0.1%
0.25865646 1
< 0.1%
0.20731324 1
< 0.1%
0.18967845 1
< 0.1%

tBodyGyroJerk-iqr()-X
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7340056069
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7192
Negative (%)97.8%
Memory size57.6 KiB
2025-03-02T10:03:39.878707image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9971379035
Q1-0.992023215
median-0.95851972
Q3-0.481335385
95-th percentile-0.1785705235
Maximum1
Range2
Interquartile range (IQR)0.51068783

Descriptive statistics

Standard deviation0.3128430423
Coefficient of variation (CV)-0.4262134232
Kurtosis0.1833633583
Mean-0.7340056069
Median Absolute Deviation (MAD)0.03901402
Skewness0.9517803258
Sum-5396.409222
Variance0.09787076914
MonotonicityNot monotonic
2025-03-02T10:03:39.926341image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99523068 2
 
< 0.1%
-0.99637716 2
 
< 0.1%
-0.98808199 1
 
< 0.1%
-0.9421298 1
 
< 0.1%
-0.94529098 1
 
< 0.1%
-0.95321546 1
 
< 0.1%
-0.97282323 1
 
< 0.1%
-0.95598403 1
 
< 0.1%
-0.91268474 1
 
< 0.1%
-0.945796 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99981291 1
< 0.1%
-0.99981116 1
< 0.1%
-0.99977188 1
< 0.1%
-0.99969558 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.81320078 1
< 0.1%
0.69317502 1
< 0.1%
0.62202431 1
< 0.1%
0.58533182 1
< 0.1%

tBodyGyroJerk-iqr()-Y
Real number (ℝ)

Distinct7344
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8056951742
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7270
Negative (%)98.9%
Memory size57.6 KiB
2025-03-02T10:03:39.971526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997779859
Q1-0.9938759875
median-0.97285019
Q3-0.6600059575
95-th percentile-0.3163196295
Maximum1
Range2
Interquartile range (IQR)0.33387003

Descriptive statistics

Standard deviation0.2518380287
Coefficient of variation (CV)-0.3125723435
Kurtosis2.664343398
Mean-0.8056951742
Median Absolute Deviation (MAD)0.025105175
Skewness1.527391475
Sum-5923.470921
Variance0.06342239272
MonotonicityNot monotonic
2025-03-02T10:03:40.018206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99522482 2
 
< 0.1%
-0.77380761 2
 
< 0.1%
-0.99725971 2
 
< 0.1%
-0.69321258 2
 
< 0.1%
-0.99123554 2
 
< 0.1%
-0.9957709 2
 
< 0.1%
-0.98520648 2
 
< 0.1%
-0.95221571 2
 
< 0.1%
-0.98532223 1
 
< 0.1%
-0.98569135 1
 
< 0.1%
Other values (7334) 7334
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99995546 1
< 0.1%
-0.99989635 1
< 0.1%
-0.99980055 1
< 0.1%
-0.99967609 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.7683434 1
< 0.1%
0.58172324 1
< 0.1%
0.55528135 1
< 0.1%
0.51339958 1
< 0.1%

tBodyGyroJerk-iqr()-Z
Real number (ℝ)

Distinct7338
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7666065573
Minimum-0.9996578
Maximum1
Zeros0
Zeros (%)0.0%
Negative7289
Negative (%)99.1%
Memory size57.6 KiB
2025-03-02T10:03:40.063971image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9996578
5-th percentile-0.997141379
Q1-0.9937159475
median-0.971310445
Q3-0.5423201075
95-th percentile-0.283132076
Maximum1
Range1.9996578
Interquartile range (IQR)0.45139584

Descriptive statistics

Standard deviation0.2759509278
Coefficient of variation (CV)-0.3599642153
Kurtosis0.2209718512
Mean-0.7666065573
Median Absolute Deviation (MAD)0.02614531
Skewness0.9310214734
Sum-5636.091409
Variance0.07614891456
MonotonicityNot monotonic
2025-03-02T10:03:40.109848image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9954239 2
 
< 0.1%
-0.99654858 2
 
< 0.1%
-0.98814498 2
 
< 0.1%
-0.62226711 2
 
< 0.1%
-0.99447712 2
 
< 0.1%
-0.99725523 2
 
< 0.1%
-0.99406371 2
 
< 0.1%
-0.99695994 2
 
< 0.1%
-0.99381731 2
 
< 0.1%
-0.43187014 2
 
< 0.1%
Other values (7328) 7332
99.7%
ValueCountFrequency (%)
-0.9996578 1
< 0.1%
-0.99952909 1
< 0.1%
-0.99952744 1
< 0.1%
-0.99938802 1
< 0.1%
-0.99937853 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.91815076 1
< 0.1%
0.54305383 1
< 0.1%
0.45504756 1
< 0.1%
0.41683584 1
< 0.1%

tBodyGyroJerk-entropy()-X
Real number (ℝ)

Distinct4703
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02751408351
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3797
Negative (%)51.6%
Memory size57.6 KiB
2025-03-02T10:03:40.155582image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8100857
Q1-0.5956000375
median-0.081857507
Q30.54905046
95-th percentile0.699239816
Maximum1
Range2
Interquartile range (IQR)1.144650498

Descriptive statistics

Standard deviation0.5736658095
Coefficient of variation (CV)-20.84989708
Kurtosis-1.678929354
Mean-0.02751408351
Median Absolute Deviation (MAD)0.586264497
Skewness-0.0429529632
Sum-202.283542
Variance0.329092461
MonotonicityNot monotonic
2025-03-02T10:03:40.202294image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.83538 38
 
0.5%
-0.84442011 36
 
0.5%
-0.81822431 32
 
0.4%
-0.8266521 30
 
0.4%
-0.85378588 30
 
0.4%
-0.77252396 28
 
0.4%
-0.8100857 26
 
0.4%
-0.78842116 25
 
0.3%
-0.86349227 24
 
0.3%
-0.78033271 23
 
0.3%
Other values (4693) 7060
96.0%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-0.9699447 1
 
< 0.1%
-0.95602026 1
 
< 0.1%
-0.9427265 3
< 0.1%
-0.93948528 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94171591 1
< 0.1%
0.93853682 1
< 0.1%
0.92160164 1
< 0.1%
0.90285375 1
< 0.1%

tBodyGyroJerk-entropy()-Y
Real number (ℝ)

Distinct5181
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001533076884
Minimum-1
Maximum0.99093504
Zeros0
Zeros (%)0.0%
Negative3742
Negative (%)50.9%
Memory size57.6 KiB
2025-03-02T10:03:40.248726image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.78562093
Q1-0.53904278
median-0.0418267835
Q30.55173659
95-th percentile0.707914919
Maximum0.99093504
Range1.99093504
Interquartile range (IQR)1.09077937

Descriptive statistics

Standard deviation0.5556346338
Coefficient of variation (CV)362.4310299
Kurtosis-1.612156742
Mean0.001533076884
Median Absolute Deviation (MAD)0.5601274235
Skewness-0.07940439765
Sum11.27118125
Variance0.3087298462
MonotonicityNot monotonic
2025-03-02T10:03:40.295140image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.79148863 17
 
0.2%
-0.75063691 12
 
0.2%
0.6460496 12
 
0.2%
-0.78925481 11
 
0.1%
-0.84346773 11
 
0.1%
-0.80409718 11
 
0.1%
-0.85192691 11
 
0.1%
-0.86976546 11
 
0.1%
-0.81980825 10
 
0.1%
-0.74259173 10
 
0.1%
Other values (5171) 7236
98.4%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-0.97499475 2
 
< 0.1%
-0.96321766 4
0.1%
-0.95188267 3
< 0.1%
-0.94096391 7
0.1%
ValueCountFrequency (%)
0.99093504 1
< 0.1%
0.98041694 1
< 0.1%
0.96072795 1
< 0.1%
0.953092 1
< 0.1%
0.95145312 1
< 0.1%

tBodyGyroJerk-entropy()-Z
Real number (ℝ)

Distinct4599
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02912782316
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3908
Negative (%)53.2%
Memory size57.6 KiB
2025-03-02T10:03:40.342026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.753565475
Q1-0.62754025
median-0.174026635
Q30.570351445
95-th percentile0.7315509625
Maximum1
Range2
Interquartile range (IQR)1.197891695

Descriptive statistics

Standard deviation0.5874109025
Coefficient of variation (CV)-20.16665987
Kurtosis-1.751012129
Mean-0.02912782316
Median Absolute Deviation (MAD)0.56180246
Skewness0.06230010522
Sum-214.1477559
Variance0.3450515683
MonotonicityNot monotonic
2025-03-02T10:03:40.389266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.68840598 37
 
0.5%
-0.71844766 36
 
0.5%
-0.77998096 34
 
0.5%
-0.7028899 33
 
0.4%
-0.69551767 32
 
0.4%
-0.70414354 30
 
0.4%
-0.72564701 29
 
0.4%
-0.73334022 28
 
0.4%
-0.76365376 28
 
0.4%
-0.71053042 28
 
0.4%
Other values (4589) 7037
95.7%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-0.96549707 1
 
< 0.1%
-0.92061236 2
< 0.1%
-0.90704504 4
0.1%
-0.89498709 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99985267 1
< 0.1%
0.98228437 1
< 0.1%
0.95374891 1
< 0.1%
0.95179351 1
< 0.1%
Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07081386061
Minimum-0.90591841
Maximum1
Zeros0
Zeros (%)0.0%
Negative4556
Negative (%)62.0%
Memory size57.6 KiB
2025-03-02T10:03:40.435974image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.90591841
5-th percentile-0.4714182375
Q1-0.2559138125
median-0.086203213
Q30.110467075
95-th percentile0.3668285455
Maximum1
Range1.90591841
Interquartile range (IQR)0.3663808875

Descriptive statistics

Standard deviation0.2571352056
Coefficient of variation (CV)-3.631142313
Kurtosis-0.3007395559
Mean-0.07081386061
Median Absolute Deviation (MAD)0.1797283285
Skewness0.195150748
Sum-520.6235032
Variance0.06611851395
MonotonicityNot monotonic
2025-03-02T10:03:40.569248image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.22336483 2
 
< 0.1%
0.29237634 1
 
< 0.1%
-0.012253438 1
 
< 0.1%
-0.30681063 1
 
< 0.1%
-0.27574709 1
 
< 0.1%
-0.18149194 1
 
< 0.1%
-0.15577475 1
 
< 0.1%
-0.15840371 1
 
< 0.1%
-0.16342814 1
 
< 0.1%
-0.087704243 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.90591841 1
< 0.1%
-0.89648193 1
< 0.1%
-0.87689216 1
< 0.1%
-0.84649165 1
< 0.1%
-0.79992259 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.84766217 1
< 0.1%
0.83219014 1
< 0.1%
0.76058539 1
< 0.1%
0.7430431 1
< 0.1%

tBodyGyroJerk-arCoeff()-X,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.03428511247
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3105
Negative (%)42.2%
Memory size57.6 KiB
2025-03-02T10:03:40.616743image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.263415626
Q1-0.0855569255
median0.032013647
Q30.150267325
95-th percentile0.3452466905
Maximum1
Range2
Interquartile range (IQR)0.2358242505

Descriptive statistics

Standard deviation0.187535289
Coefficient of variation (CV)5.469875274
Kurtosis0.7995452858
Mean0.03428511247
Median Absolute Deviation (MAD)0.117977809
Skewness0.02169746869
Sum252.0641469
Variance0.03516948461
MonotonicityNot monotonic
2025-03-02T10:03:40.664677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.36199802 1
 
< 0.1%
-0.25209036 1
 
< 0.1%
-0.11642431 1
 
< 0.1%
-0.10060102 1
 
< 0.1%
-0.41653378 1
 
< 0.1%
-0.46128618 1
 
< 0.1%
-0.35508895 1
 
< 0.1%
-0.21111858 1
 
< 0.1%
-0.14965583 1
 
< 0.1%
-0.17508389 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.8680834 1
< 0.1%
-0.84167275 1
< 0.1%
-0.82402583 1
< 0.1%
-0.785816 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97438255 1
< 0.1%
0.74148345 1
< 0.1%
0.7386579 1
< 0.1%
0.73171134 1
< 0.1%

tBodyGyroJerk-arCoeff()-X,3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1610051335
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1572
Negative (%)21.4%
Memory size57.6 KiB
2025-03-02T10:03:40.710578image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.1970238245
Q10.02420905275
median0.166254905
Q30.304439825
95-th percentile0.5019066545
Maximum1
Range2
Interquartile range (IQR)0.2802307722

Descriptive statistics

Standard deviation0.2133371613
Coefficient of variation (CV)1.325033287
Kurtosis0.5590119443
Mean0.1610051335
Median Absolute Deviation (MAD)0.1400065205
Skewness-0.2224343918
Sum1183.709742
Variance0.0455127444
MonotonicityNot monotonic
2025-03-02T10:03:40.757163image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.40554269 1
 
< 0.1%
0.054526371 1
 
< 0.1%
-0.088011734 1
 
< 0.1%
0.052029383 1
 
< 0.1%
-0.051483617 1
 
< 0.1%
-0.10866135 1
 
< 0.1%
-0.15526468 1
 
< 0.1%
-0.072809868 1
 
< 0.1%
-0.12190721 1
 
< 0.1%
0.041030982 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.90167551 1
< 0.1%
-0.89055152 1
< 0.1%
-0.84107482 1
< 0.1%
-0.71159059 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92807922 1
< 0.1%
0.91621402 1
< 0.1%
0.9074272 1
< 0.1%
0.87773456 1
< 0.1%

tBodyGyroJerk-arCoeff()-X,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1735772938
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative1427
Negative (%)19.4%
Memory size57.6 KiB
2025-03-02T10:03:40.803581image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.1739224475
Q10.04172501975
median0.18031871
Q30.31174034
95-th percentile0.500407331
Maximum1
Range2
Interquartile range (IQR)0.2700153203

Descriptive statistics

Standard deviation0.2059752358
Coefficient of variation (CV)1.186648502
Kurtosis0.3889487243
Mean0.1735772938
Median Absolute Deviation (MAD)0.1350367155
Skewness-0.1979395955
Sum1276.140264
Variance0.04242579776
MonotonicityNot monotonic
2025-03-02T10:03:40.851493image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.039006951 1
 
< 0.1%
-0.16844058 1
 
< 0.1%
0.085583417 1
 
< 0.1%
0.059191338 1
 
< 0.1%
0.57427976 1
 
< 0.1%
0.55368023 1
 
< 0.1%
0.30068871 1
 
< 0.1%
0.29648051 1
 
< 0.1%
0.22073059 1
 
< 0.1%
0.056558338 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.6697742 1
< 0.1%
-0.65863253 1
< 0.1%
-0.65846039 1
< 0.1%
-0.63420321 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95681413 1
< 0.1%
0.9509955 1
< 0.1%
0.93351933 1
< 0.1%
0.88508056 1
< 0.1%
Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1600611278
Minimum-0.92113806
Maximum1
Zeros0
Zeros (%)0.0%
Negative5675
Negative (%)77.2%
Memory size57.6 KiB
2025-03-02T10:03:40.899193image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.92113806
5-th percentile-0.504575492
Q1-0.3164029225
median-0.165904835
Q3-0.01634525775
95-th percentile0.208273466
Maximum1
Range1.92113806
Interquartile range (IQR)0.3000576648

Descriptive statistics

Standard deviation0.2168398077
Coefficient of variation (CV)-1.354731225
Kurtosis0.09059007118
Mean-0.1600611278
Median Absolute Deviation (MAD)0.150171186
Skewness0.1986081984
Sum-1176.769412
Variance0.04701950219
MonotonicityNot monotonic
2025-03-02T10:03:40.945427image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19983316 2
 
< 0.1%
0.98928381 1
 
< 0.1%
-0.16334357 1
 
< 0.1%
-0.68584857 1
 
< 0.1%
-0.61872479 1
 
< 0.1%
-0.27665536 1
 
< 0.1%
-0.2589494 1
 
< 0.1%
0.047955223 1
 
< 0.1%
0.063475487 1
 
< 0.1%
-0.090850014 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.92113806 1
< 0.1%
-0.88638763 1
< 0.1%
-0.8510938 1
< 0.1%
-0.8197692 1
< 0.1%
-0.81179485 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98928381 1
< 0.1%
0.88852918 1
< 0.1%
0.83300944 1
< 0.1%
0.7703571 1
< 0.1%

tBodyGyroJerk-arCoeff()-Y,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1939688114
Minimum-1
Maximum0.89744607
Zeros0
Zeros (%)0.0%
Negative786
Negative (%)10.7%
Memory size57.6 KiB
2025-03-02T10:03:40.992498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.07540412565
Q10.08729321025
median0.195521205
Q30.2959200075
95-th percentile0.469729663
Maximum0.89744607
Range1.89744607
Interquartile range (IQR)0.2086267972

Descriptive statistics

Standard deviation0.1670623112
Coefficient of variation (CV)0.8612843989
Kurtosis1.274917257
Mean0.1939688114
Median Absolute Deviation (MAD)0.104033177
Skewness-0.05785960373
Sum1426.058702
Variance0.02790981581
MonotonicityNot monotonic
2025-03-02T10:03:41.038190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.41456048 1
 
< 0.1%
0.39100865 1
 
< 0.1%
0.57864799 1
 
< 0.1%
0.69022407 1
 
< 0.1%
0.56438239 1
 
< 0.1%
0.12556047 1
 
< 0.1%
0.18393625 1
 
< 0.1%
0.19108517 1
 
< 0.1%
0.065009094 1
 
< 0.1%
0.10323554 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.71503655 1
< 0.1%
-0.69100907 1
< 0.1%
-0.68115677 1
< 0.1%
-0.55162693 1
< 0.1%
ValueCountFrequency (%)
0.89744607 1
< 0.1%
0.89267545 1
< 0.1%
0.8922193 1
< 0.1%
0.84485651 1
< 0.1%
0.8349739 1
< 0.1%

tBodyGyroJerk-arCoeff()-Y,3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08513418533
Minimum-0.77359738
Maximum0.99901522
Zeros0
Zeros (%)0.0%
Negative2336
Negative (%)31.8%
Memory size57.6 KiB
2025-03-02T10:03:41.082114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.77359738
5-th percentile-0.240978976
Q1-0.03938239625
median0.093558087
Q30.2165371725
95-th percentile0.389229241
Maximum0.99901522
Range1.7726126
Interquartile range (IQR)0.2559195687

Descriptive statistics

Standard deviation0.1925982923
Coefficient of variation (CV)2.262290895
Kurtosis0.3940292172
Mean0.08513418533
Median Absolute Deviation (MAD)0.1273277775
Skewness-0.208015751
Sum625.9065306
Variance0.0370941022
MonotonicityNot monotonic
2025-03-02T10:03:41.126706image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.39160251 1
 
< 0.1%
-0.3564671 1
 
< 0.1%
-0.34158334 1
 
< 0.1%
-0.48413615 1
 
< 0.1%
-0.34367299 1
 
< 0.1%
0.020193419 1
 
< 0.1%
0.034376802 1
 
< 0.1%
0.18852098 1
 
< 0.1%
0.080163463 1
 
< 0.1%
0.093974457 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.77359738 1
< 0.1%
-0.76520568 1
< 0.1%
-0.73241686 1
< 0.1%
-0.72037434 1
< 0.1%
-0.69148708 1
< 0.1%
ValueCountFrequency (%)
0.99901522 1
< 0.1%
0.83542813 1
< 0.1%
0.74500873 1
< 0.1%
0.72371124 1
< 0.1%
0.71206521 1
< 0.1%

tBodyGyroJerk-arCoeff()-Y,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08276341967
Minimum-1
Maximum0.92337662
Zeros0
Zeros (%)0.0%
Negative2662
Negative (%)36.2%
Memory size57.6 KiB
2025-03-02T10:03:41.172477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.32177168
Q1-0.0778896025
median0.0825713
Q30.24720105
95-th percentile0.4754480785
Maximum0.92337662
Range1.92337662
Interquartile range (IQR)0.3250906525

Descriptive statistics

Standard deviation0.2427147451
Coefficient of variation (CV)2.932633113
Kurtosis0.1113893426
Mean0.08276341967
Median Absolute Deviation (MAD)0.16248978
Skewness-0.07643330879
Sum608.4766614
Variance0.05891044748
MonotonicityNot monotonic
2025-03-02T10:03:41.219636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.28225087 1
 
< 0.1%
0.081067702 1
 
< 0.1%
-0.091007018 1
 
< 0.1%
0.14284358 1
 
< 0.1%
0.085709926 1
 
< 0.1%
-0.039257973 1
 
< 0.1%
-0.023482221 1
 
< 0.1%
0.40580494 1
 
< 0.1%
0.35599334 1
 
< 0.1%
0.31433652 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.86427659 1
< 0.1%
-0.79282132 1
< 0.1%
-0.78967109 1
< 0.1%
-0.75113193 1
< 0.1%
ValueCountFrequency (%)
0.92337662 1
< 0.1%
0.85666476 1
< 0.1%
0.85403328 1
< 0.1%
0.84259966 1
< 0.1%
0.8423588 1
< 0.1%

tBodyGyroJerk-arCoeff()-Z,1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02594391466
Minimum-0.95282078
Maximum0.94558999
Zeros0
Zeros (%)0.0%
Negative4032
Negative (%)54.8%
Memory size57.6 KiB
2025-03-02T10:03:41.266172image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.95282078
5-th percentile-0.5406265665
Q1-0.31230712
median-0.061412627
Q30.2615438925
95-th percentile0.542352182
Maximum0.94558999
Range1.89841077
Interquartile range (IQR)0.5738510125

Descriptive statistics

Standard deviation0.3486914696
Coefficient of variation (CV)-13.44020261
Kurtosis-0.8960364235
Mean-0.02594391466
Median Absolute Deviation (MAD)0.280484223
Skewness0.1788310442
Sum-190.7396606
Variance0.121585741
MonotonicityNot monotonic
2025-03-02T10:03:41.315992image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.92726984 1
 
< 0.1%
-0.0973686 1
 
< 0.1%
-0.2283533 1
 
< 0.1%
-0.33976698 1
 
< 0.1%
-0.14251156 1
 
< 0.1%
0.087015917 1
 
< 0.1%
-0.088562387 1
 
< 0.1%
-0.045782314 1
 
< 0.1%
0.026820975 1
 
< 0.1%
0.12526171 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.95282078 1
< 0.1%
-0.93109838 1
< 0.1%
-0.88739307 1
< 0.1%
-0.87165768 1
< 0.1%
-0.86930901 1
< 0.1%
ValueCountFrequency (%)
0.94558999 1
< 0.1%
0.94311209 1
< 0.1%
0.9325617 1
< 0.1%
0.92726984 1
< 0.1%
0.89082794 1
< 0.1%

tBodyGyroJerk-arCoeff()-Z,2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04938196674
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3201
Negative (%)43.5%
Memory size57.6 KiB
2025-03-02T10:03:41.363956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3173169755
Q1-0.111494455
median0.038040196
Q30.2079535025
95-th percentile0.4406882555
Maximum1
Range2
Interquartile range (IQR)0.3194479575

Descriptive statistics

Standard deviation0.2351378393
Coefficient of variation (CV)4.761613496
Kurtosis0.1461669704
Mean0.04938196674
Median Absolute Deviation (MAD)0.159697905
Skewness0.1007311445
Sum363.0562195
Variance0.05528980347
MonotonicityNot monotonic
2025-03-02T10:03:41.411214image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.57237001 1
 
< 0.1%
-0.32275001 1
 
< 0.1%
-0.24988833 1
 
< 0.1%
-0.0084118195 1
 
< 0.1%
-0.31646639 1
 
< 0.1%
-0.5761864 1
 
< 0.1%
-0.24355198 1
 
< 0.1%
-0.15088101 1
 
< 0.1%
-0.11752559 1
 
< 0.1%
-0.098905603 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.96409909 1
< 0.1%
-0.93703388 1
< 0.1%
-0.82350023 1
< 0.1%
-0.76554221 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96723121 1
< 0.1%
0.90017724 1
< 0.1%
0.87133978 1
< 0.1%
0.85323209 1
< 0.1%

tBodyGyroJerk-arCoeff()-Z,3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08725216677
Minimum-0.95389422
Maximum1
Zeros0
Zeros (%)0.0%
Negative2633
Negative (%)35.8%
Memory size57.6 KiB
2025-03-02T10:03:41.457839image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.95389422
5-th percentile-0.3462414125
Q1-0.079789411
median0.09657142
Q30.2661121575
95-th percentile0.478486134
Maximum1
Range1.95389422
Interquartile range (IQR)0.3459015685

Descriptive statistics

Standard deviation0.2519411188
Coefficient of variation (CV)2.887505584
Kurtosis0.07896510985
Mean0.08725216677
Median Absolute Deviation (MAD)0.1724092395
Skewness-0.2512895817
Sum641.4779301
Variance0.06347432732
MonotonicityNot monotonic
2025-03-02T10:03:41.504952image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6916192 1
 
< 0.1%
-0.30561013 1
 
< 0.1%
0.023112 1
 
< 0.1%
0.042568232 1
 
< 0.1%
0.21681647 1
 
< 0.1%
-0.003656614 1
 
< 0.1%
-0.05559611 1
 
< 0.1%
-0.041406262 1
 
< 0.1%
0.044400935 1
 
< 0.1%
0.28037783 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.95389422 1
< 0.1%
-0.90253669 1
< 0.1%
-0.84843784 1
< 0.1%
-0.84261538 1
< 0.1%
-0.8350212 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97868551 1
< 0.1%
0.85580243 1
< 0.1%
0.85054593 1
< 0.1%
0.84043709 1
< 0.1%

tBodyGyroJerk-arCoeff()-Z,4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0397494067
Minimum-0.95448559
Maximum1
Zeros0
Zeros (%)0.0%
Negative3126
Negative (%)42.5%
Memory size57.6 KiB
2025-03-02T10:03:41.551843image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.95448559
5-th percentile-0.370383044
Q1-0.1263239875
median0.0458677285
Q30.2101223125
95-th percentile0.425946661
Maximum1
Range1.95448559
Interquartile range (IQR)0.3364463

Descriptive statistics

Standard deviation0.2447986256
Coefficient of variation (CV)6.158547912
Kurtosis-0.0368769667
Mean0.0397494067
Median Absolute Deviation (MAD)0.167715335
Skewness-0.1381873832
Sum292.2376381
Variance0.05992636712
MonotonicityNot monotonic
2025-03-02T10:03:41.682355image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.46828982 1
 
< 0.1%
0.23186786 1
 
< 0.1%
-0.0092616627 1
 
< 0.1%
0.13012887 1
 
< 0.1%
0.14916917 1
 
< 0.1%
0.022549755 1
 
< 0.1%
-0.34398712 1
 
< 0.1%
0.035115867 1
 
< 0.1%
0.12020754 1
 
< 0.1%
0.056423312 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.95448559 1
< 0.1%
-0.86225398 1
< 0.1%
-0.81891063 1
< 0.1%
-0.8135559 1
< 0.1%
-0.77639009 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90927686 1
< 0.1%
0.90262818 1
< 0.1%
0.83952325 1
< 0.1%
0.82461392 1
< 0.1%
Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04149901191
Minimum-0.8952687
Maximum1
Zeros0
Zeros (%)0.0%
Negative3266
Negative (%)44.4%
Memory size57.6 KiB
2025-03-02T10:03:41.726745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.8952687
5-th percentile-0.4055018505
Q1-0.146742295
median0.0377745585
Q30.2253042
95-th percentile0.50650248
Maximum1
Range1.8952687
Interquartile range (IQR)0.372046495

Descriptive statistics

Standard deviation0.275182051
Coefficient of variation (CV)6.631050678
Kurtosis-0.09585676851
Mean0.04149901191
Median Absolute Deviation (MAD)0.1858589485
Skewness0.006834167584
Sum305.1007355
Variance0.0757251612
MonotonicityNot monotonic
2025-03-02T10:03:41.771358image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.18485839 2
 
< 0.1%
-0.13107697 1
 
< 0.1%
0.15276639 1
 
< 0.1%
0.24825889 1
 
< 0.1%
0.34443685 1
 
< 0.1%
0.011356759 1
 
< 0.1%
-0.16700607 1
 
< 0.1%
-0.37320861 1
 
< 0.1%
-0.16779256 1
 
< 0.1%
0.23443605 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.8952687 1
< 0.1%
-0.86422781 1
< 0.1%
-0.85949665 1
< 0.1%
-0.84374908 1
< 0.1%
-0.8284832 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90373769 1
< 0.1%
0.86321098 1
< 0.1%
0.85630835 1
< 0.1%
0.85602782 1
< 0.1%

tBodyGyroJerk-correlation()-X,Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04909730081
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3124
Negative (%)42.5%
Memory size57.6 KiB
2025-03-02T10:03:41.816728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.392953897
Q1-0.120264455
median0.047809113
Q30.2157137225
95-th percentile0.4967855535
Maximum1
Range2
Interquartile range (IQR)0.3359781775

Descriptive statistics

Standard deviation0.264293686
Coefficient of variation (CV)5.383059388
Kurtosis0.1360304944
Mean0.04909730081
Median Absolute Deviation (MAD)0.168070705
Skewness0.06800371994
Sum360.9633555
Variance0.06985115248
MonotonicityNot monotonic
2025-03-02T10:03:41.863258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.087159695 1
 
< 0.1%
-0.73101739 1
 
< 0.1%
-0.62154484 1
 
< 0.1%
-0.078802944 1
 
< 0.1%
-0.33657518 1
 
< 0.1%
-0.81170947 1
 
< 0.1%
-0.78001127 1
 
< 0.1%
-0.6254591 1
 
< 0.1%
-0.48321397 1
 
< 0.1%
-0.34222596 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.87174176 1
< 0.1%
-0.86713591 1
< 0.1%
-0.81170947 1
< 0.1%
-0.78001127 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97893775 1
< 0.1%
0.97078616 1
< 0.1%
0.91947172 1
< 0.1%
0.90760511 1
< 0.1%

tBodyGyroJerk-correlation()-Y,Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1285926717
Minimum-1
Maximum0.99680328
Zeros0
Zeros (%)0.0%
Negative5179
Negative (%)70.4%
Memory size57.6 KiB
2025-03-02T10:03:41.908834image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5538998225
Q1-0.30011561
median-0.130547125
Q30.03559136775
95-th percentile0.294635469
Maximum0.99680328
Range1.99680328
Interquartile range (IQR)0.3357069778

Descriptive statistics

Standard deviation0.2580092655
Coefficient of variation (CV)-2.006407224
Kurtosis0.2947703876
Mean-0.1285926717
Median Absolute Deviation (MAD)0.1678308345
Skewness0.07756958956
Sum-945.4133225
Variance0.06656878106
MonotonicityNot monotonic
2025-03-02T10:03:41.955870image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.33624748 1
 
< 0.1%
-0.39496037 1
 
< 0.1%
-0.78834899 1
 
< 0.1%
-0.89295109 1
 
< 0.1%
-0.7432873 1
 
< 0.1%
0.052543022 1
 
< 0.1%
-0.070088688 1
 
< 0.1%
-0.30052421 1
 
< 0.1%
-0.32468353 1
 
< 0.1%
-0.49366723 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.995659 1
< 0.1%
-0.97807342 1
< 0.1%
-0.95638992 1
< 0.1%
-0.93970076 1
< 0.1%
ValueCountFrequency (%)
0.99680328 1
< 0.1%
0.98582417 1
< 0.1%
0.93773508 1
< 0.1%
0.93295326 1
< 0.1%
0.87437972 1
< 0.1%

tBodyAccMag-mean()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5438841147
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6124
Negative (%)83.3%
Memory size57.6 KiB
2025-03-02T10:03:42.003814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995659755
Q1-0.983282085
median-0.883370955
Q3-0.106891715
95-th percentile0.21813428
Maximum1
Range2
Interquartile range (IQR)0.87639037

Descriptive statistics

Standard deviation0.4776531102
Coefficient of variation (CV)-0.8782258891
Kurtosis-1.387460611
Mean-0.5438841147
Median Absolute Deviation (MAD)0.11335795
Skewness0.431218975
Sum-3998.636011
Variance0.2281524937
MonotonicityNot monotonic
2025-03-02T10:03:42.053913image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96976657 2
 
< 0.1%
-0.99019663 2
 
< 0.1%
-0.96547729 1
 
< 0.1%
-0.94726537 1
 
< 0.1%
-0.92122282 1
 
< 0.1%
-0.90828591 1
 
< 0.1%
-0.93319858 1
 
< 0.1%
-0.93860292 1
 
< 0.1%
-0.93566284 1
 
< 0.1%
-0.94904383 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9995671 1
< 0.1%
-0.99950449 1
< 0.1%
-0.99950128 1
< 0.1%
-0.99944662 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93718708 1
< 0.1%
0.91708507 1
< 0.1%
0.89738085 1
< 0.1%
0.85922303 1
< 0.1%

tBodyAccMag-std()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5888838172
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6479
Negative (%)88.1%
Memory size57.6 KiB
2025-03-02T10:03:42.102939image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9956270635
Q1-0.98336992
median-0.853936515
Q3-0.2325663375
95-th percentile0.2063516655
Maximum1
Range2
Interquartile range (IQR)0.7508035825

Descriptive statistics

Standard deviation0.4374715947
Coefficient of variation (CV)-0.7428826909
Kurtosis-0.8755329443
Mean-0.5888838172
Median Absolute Deviation (MAD)0.14267406
Skewness0.642437342
Sum-4329.473824
Variance0.1913813962
MonotonicityNot monotonic
2025-03-02T10:03:42.150902image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99413169 2
 
< 0.1%
-0.44187892 2
 
< 0.1%
-0.9505515 1
 
< 0.1%
-0.88762585 1
 
< 0.1%
-0.91525032 1
 
< 0.1%
-0.92401753 1
 
< 0.1%
-0.92814583 1
 
< 0.1%
-0.93918731 1
 
< 0.1%
-0.95210119 1
 
< 0.1%
-0.97790573 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999104 1
< 0.1%
-0.99965974 1
< 0.1%
-0.99951497 1
< 0.1%
-0.99949156 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8390256 1
< 0.1%
0.83898529 1
< 0.1%
0.82565734 1
< 0.1%
0.77528512 1
< 0.1%

tBodyAccMag-mad()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6393741854
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6840
Negative (%)93.0%
Memory size57.6 KiB
2025-03-02T10:03:42.197670image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995906296
Q1-0.9847875625
median-0.86967286
Q3-0.324068185
95-th percentile0.04680846835
Maximum1
Range2
Interquartile range (IQR)0.6607193775

Descriptive statistics

Standard deviation0.3831922979
Coefficient of variation (CV)-0.5993240056
Kurtosis-0.8223738136
Mean-0.6393741854
Median Absolute Deviation (MAD)0.12715607
Skewness0.6509657565
Sum-4700.679011
Variance0.1468363372
MonotonicityNot monotonic
2025-03-02T10:03:42.245239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99226221 2
 
< 0.1%
-0.99291915 2
 
< 0.1%
-0.81867477 1
 
< 0.1%
-0.92099692 1
 
< 0.1%
-0.91965657 1
 
< 0.1%
-0.92946081 1
 
< 0.1%
-0.93650017 1
 
< 0.1%
-0.9417715 1
 
< 0.1%
-0.95607829 1
 
< 0.1%
-0.9794999 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9998582 1
< 0.1%
-0.99978989 1
< 0.1%
-0.99970233 1
< 0.1%
-0.99950282 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.75492627 1
< 0.1%
0.66544518 1
< 0.1%
0.65953803 1
< 0.1%
0.57763484 1
< 0.1%

tBodyAccMag-max()
Real number (ℝ)

Distinct5421
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5570988901
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6181
Negative (%)84.1%
Memory size57.6 KiB
2025-03-02T10:03:42.291533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.992992685
Q1-0.9811076125
median-0.862903675
Q3-0.1558279275
95-th percentile0.2459680755
Maximum1
Range2
Interquartile range (IQR)0.825279685

Descriptive statistics

Standard deviation0.4689177201
Coefficient of variation (CV)-0.8417136139
Kurtosis-1.048849206
Mean-0.5570988901
Median Absolute Deviation (MAD)0.13134667
Skewness0.5802827354
Sum-4095.79104
Variance0.2198838282
MonotonicityNot monotonic
2025-03-02T10:03:42.338918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96964555 2
 
< 0.1%
-0.32449494 2
 
< 0.1%
-0.992346 2
 
< 0.1%
0.17715199 2
 
< 0.1%
0.11691884 2
 
< 0.1%
0.19511894 2
 
< 0.1%
0.17103562 2
 
< 0.1%
0.093036232 2
 
< 0.1%
-0.49215849 2
 
< 0.1%
0.044548666 2
 
< 0.1%
Other values (5411) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99839334 1
< 0.1%
-0.99835179 1
< 0.1%
-0.99815177 1
< 0.1%
-0.99794897 1
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.88859462 1
< 0.1%
0.86077778 1
< 0.1%
0.83024464 1
< 0.1%
0.8150382 2
< 0.1%

tBodyAccMag-min()
Real number (ℝ)

Distinct5171
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.838618285
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7346
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:42.385832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9971176985
Q1-0.9928158425
median-0.96851279
Q3-0.6962148625
95-th percentile-0.4785334
Maximum1
Range2
Interquartile range (IQR)0.29660098

Descriptive statistics

Standard deviation0.1915806203
Coefficient of variation (CV)-0.2284479408
Kurtosis1.991852713
Mean-0.838618285
Median Absolute Deviation (MAD)0.02910263
Skewness1.161227342
Sum-6165.521631
Variance0.03670313408
MonotonicityNot monotonic
2025-03-02T10:03:42.433476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99754974 3
 
< 0.1%
-0.99121846 3
 
< 0.1%
-0.51561786 2
 
< 0.1%
-0.99013525 2
 
< 0.1%
-0.9990883 2
 
< 0.1%
-0.99785709 2
 
< 0.1%
-0.99746696 2
 
< 0.1%
-0.98071784 2
 
< 0.1%
-0.98818856 2
 
< 0.1%
-0.7631459 2
 
< 0.1%
Other values (5161) 7330
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.99994637 2
< 0.1%
-0.99984705 2
< 0.1%
-0.99984494 2
< 0.1%
-0.99971725 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.71966323 1
< 0.1%
0.62049439 1
< 0.1%
0.25544495 1
< 0.1%
0.12813182 1
< 0.1%

tBodyAccMag-sma()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5438841147
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6124
Negative (%)83.3%
Memory size57.6 KiB
2025-03-02T10:03:42.478859image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995659755
Q1-0.983282085
median-0.883370955
Q3-0.106891715
95-th percentile0.21813428
Maximum1
Range2
Interquartile range (IQR)0.87639037

Descriptive statistics

Standard deviation0.4776531102
Coefficient of variation (CV)-0.8782258891
Kurtosis-1.387460611
Mean-0.5438841147
Median Absolute Deviation (MAD)0.11335795
Skewness0.431218975
Sum-3998.636011
Variance0.2281524937
MonotonicityNot monotonic
2025-03-02T10:03:42.527077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96976657 2
 
< 0.1%
-0.99019663 2
 
< 0.1%
-0.96547729 1
 
< 0.1%
-0.94726537 1
 
< 0.1%
-0.92122282 1
 
< 0.1%
-0.90828591 1
 
< 0.1%
-0.93319858 1
 
< 0.1%
-0.93860292 1
 
< 0.1%
-0.93566284 1
 
< 0.1%
-0.94904383 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9995671 1
< 0.1%
-0.99950449 1
< 0.1%
-0.99950128 1
< 0.1%
-0.99944662 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93718708 1
< 0.1%
0.91708507 1
< 0.1%
0.89738085 1
< 0.1%
0.85922303 1
< 0.1%

tBodyAccMag-energy()
Real number (ℝ)

Distinct7286
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7705964479
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7248
Negative (%)98.6%
Memory size57.6 KiB
2025-03-02T10:03:42.574298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999940038
Q1-0.9996338875
median-0.989906235
Q3-0.5902741675
95-th percentile-0.2054830975
Maximum1
Range2
Interquartile range (IQR)0.40935972

Descriptive statistics

Standard deviation0.2923723644
Coefficient of variation (CV)-0.379410475
Kurtosis1.340096576
Mean-0.7705964479
Median Absolute Deviation (MAD)0.01006044
Skewness1.224038783
Sum-5665.425085
Variance0.08548159944
MonotonicityNot monotonic
2025-03-02T10:03:42.620700image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99981079 3
 
< 0.1%
-0.99962373 2
 
< 0.1%
-0.99985519 2
 
< 0.1%
-0.9993203 2
 
< 0.1%
-0.99992211 2
 
< 0.1%
-0.99985355 2
 
< 0.1%
-0.99986005 2
 
< 0.1%
-0.9999006 2
 
< 0.1%
-0.99995296 2
 
< 0.1%
-0.99996369 2
 
< 0.1%
Other values (7276) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999971 1
< 0.1%
-0.99999924 1
< 0.1%
-0.99999912 1
< 0.1%
-0.9999984 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94821697 1
< 0.1%
0.91848362 1
< 0.1%
0.78769853 1
< 0.1%
0.73601119 1
< 0.1%

tBodyAccMag-iqr()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6963843394
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7161
Negative (%)97.4%
Memory size57.6 KiB
2025-03-02T10:03:42.666562image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9951156395
Q1-0.9853682975
median-0.888445805
Q3-0.4373471175
95-th percentile-0.1148900655
Maximum1
Range2
Interquartile range (IQR)0.54802118

Descriptive statistics

Standard deviation0.325080131
Coefficient of variation (CV)-0.466811375
Kurtosis-0.4148126826
Mean-0.6963843394
Median Absolute Deviation (MAD)0.10752948
Skewness0.7535272635
Sum-5119.817663
Variance0.1056770916
MonotonicityNot monotonic
2025-03-02T10:03:42.714551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.45843768 2
 
< 0.1%
-0.96896881 2
 
< 0.1%
-0.9576374 1
 
< 0.1%
-0.88785974 1
 
< 0.1%
-0.93784433 1
 
< 0.1%
-0.9214813 1
 
< 0.1%
-0.9306587 1
 
< 0.1%
-0.94628801 1
 
< 0.1%
-0.94754046 1
 
< 0.1%
-0.95970052 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99961396 1
< 0.1%
-0.99923982 1
< 0.1%
-0.99921816 1
< 0.1%
-0.99912623 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.85783437 1
< 0.1%
0.71978112 1
< 0.1%
0.63046449 1
< 0.1%
0.50359005 1
< 0.1%

tBodyAccMag-entropy()
Real number (ℝ)

Distinct5329
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1243239739
Minimum-0.99537696
Maximum1
Zeros0
Zeros (%)0.0%
Negative3504
Negative (%)47.7%
Memory size57.6 KiB
2025-03-02T10:03:42.761769image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99537696
5-th percentile-0.826198947
Q1-0.566107555
median0.1435659
Q30.80839346
95-th percentile0.88969225
Maximum1
Range1.99537696
Interquartile range (IQR)1.374501015

Descriptive statistics

Standard deviation0.6767465938
Coefficient of variation (CV)5.443411858
Kurtosis-1.715845365
Mean0.1243239739
Median Absolute Deviation (MAD)0.67251896
Skewness-0.1362928467
Sum914.0298563
Variance0.4579859523
MonotonicityNot monotonic
2025-03-02T10:03:42.810085image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8142561 16
 
0.2%
0.857558 16
 
0.2%
0.82303734 15
 
0.2%
0.84775902 15
 
0.2%
0.90991996 14
 
0.2%
0.87430946 14
 
0.2%
0.87641704 14
 
0.2%
0.89453716 14
 
0.2%
0.9008599 14
 
0.2%
0.8931685 13
 
0.2%
Other values (5319) 7207
98.0%
ValueCountFrequency (%)
-0.99537696 1
< 0.1%
-0.99417307 1
< 0.1%
-0.99388612 1
< 0.1%
-0.9861226 1
< 0.1%
-0.97640943 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9797723 1
< 0.1%
0.97418848 1
< 0.1%
0.9720809 1
< 0.1%
0.9643895 2
< 0.1%

tBodyAccMag-arCoeff()1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07248109272
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4373
Negative (%)59.5%
Memory size57.6 KiB
2025-03-02T10:03:42.857727image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.545133991
Q1-0.2957471975
median-0.076562193
Q30.13949355
95-th percentile0.41685228
Maximum1
Range2
Interquartile range (IQR)0.4352407475

Descriptive statistics

Standard deviation0.2949941852
Coefficient of variation (CV)-4.069946715
Kurtosis-0.5217520118
Mean-0.07248109272
Median Absolute Deviation (MAD)0.217940328
Skewness0.05771175885
Sum-532.8809937
Variance0.08702156931
MonotonicityNot monotonic
2025-03-02T10:03:42.990363image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.17317874 1
 
< 0.1%
-0.29168691 1
 
< 0.1%
-0.36275775 1
 
< 0.1%
-0.13550776 1
 
< 0.1%
-0.32763025 1
 
< 0.1%
-0.56757364 1
 
< 0.1%
-0.21682615 1
 
< 0.1%
-0.046657153 1
 
< 0.1%
0.01833927 1
 
< 0.1%
0.24907143 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.97108486 1
< 0.1%
-0.96695981 1
< 0.1%
-0.95491541 1
< 0.1%
-0.95461335 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87660105 1
< 0.1%
0.82173217 1
< 0.1%
0.75927055 1
< 0.1%
0.72770307 1
< 0.1%

tBodyAccMag-arCoeff()2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02496426938
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3456
Negative (%)47.0%
Memory size57.6 KiB
2025-03-02T10:03:43.036103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3503332595
Q1-0.1512952575
median0.018165052
Q30.19206825
95-th percentile0.4294127495
Maximum1
Range2
Interquartile range (IQR)0.3433635075

Descriptive statistics

Standard deviation0.2384840265
Coefficient of variation (CV)9.553014464
Kurtosis-0.2943675503
Mean0.02496426938
Median Absolute Deviation (MAD)0.171695368
Skewness0.1863054443
Sum183.5373085
Variance0.05687463091
MonotonicityNot monotonic
2025-03-02T10:03:43.082452image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02289666 1
 
< 0.1%
0.10437343 1
 
< 0.1%
0.28489508 1
 
< 0.1%
0.19179402 1
 
< 0.1%
0.31700217 1
 
< 0.1%
0.41491588 1
 
< 0.1%
0.1272433 1
 
< 0.1%
0.044959933 1
 
< 0.1%
-0.10848571 1
 
< 0.1%
-0.20268146 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.82174058 1
< 0.1%
-0.61896989 1
< 0.1%
-0.61305945 1
< 0.1%
-0.60766466 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90680896 1
< 0.1%
0.90123451 1
< 0.1%
0.85129315 1
< 0.1%
0.80932287 1
< 0.1%

tBodyAccMag-arCoeff()3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06069157202
Minimum-1
Maximum0.994731
Zeros0
Zeros (%)0.0%
Negative2900
Negative (%)39.4%
Memory size57.6 KiB
2025-03-02T10:03:43.130980image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.368386721
Q1-0.108297785
median0.0694581315
Q30.239137005
95-th percentile0.462714648
Maximum0.994731
Range1.994731
Interquartile range (IQR)0.34743479

Descriptive statistics

Standard deviation0.2546515937
Coefficient of variation (CV)4.195831237
Kurtosis0.1229864626
Mean0.06069157202
Median Absolute Deviation (MAD)0.17330459
Skewness-0.1691695377
Sum446.2044375
Variance0.06484743417
MonotonicityNot monotonic
2025-03-02T10:03:43.178695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.094831568 1
 
< 0.1%
0.14836405 1
 
< 0.1%
-0.25062049 1
 
< 0.1%
-0.10528547 1
 
< 0.1%
-0.14511392 1
 
< 0.1%
-0.12104695 1
 
< 0.1%
0.012638039 1
 
< 0.1%
-0.018564155 1
 
< 0.1%
0.41537783 1
 
< 0.1%
0.17875229 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.912329 1
< 0.1%
-0.91104749 1
< 0.1%
-0.82827806 1
< 0.1%
-0.80583875 1
< 0.1%
ValueCountFrequency (%)
0.994731 1
< 0.1%
0.95216776 1
< 0.1%
0.91977667 1
< 0.1%
0.88837244 1
< 0.1%
0.88824037 1
< 0.1%

tBodyAccMag-arCoeff()4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05867490293
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4307
Negative (%)58.6%
Memory size57.6 KiB
2025-03-02T10:03:43.226396image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5010751915
Q1-0.2368217325
median-0.0581696925
Q30.12638597
95-th percentile0.371422703
Maximum1
Range2
Interquartile range (IQR)0.3632077025

Descriptive statistics

Standard deviation0.2651239097
Coefficient of variation (CV)-4.518523192
Kurtosis-0.04368116755
Mean-0.05867490293
Median Absolute Deviation (MAD)0.1810004375
Skewness-0.01687633712
Sum-431.3778863
Variance0.07029068749
MonotonicityNot monotonic
2025-03-02T10:03:43.273676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19181715 1
 
< 0.1%
-0.032327193 1
 
< 0.1%
0.20754247 1
 
< 0.1%
-0.18812681 1
 
< 0.1%
-0.097430501 1
 
< 0.1%
0.027368674 1
 
< 0.1%
-0.020166758 1
 
< 0.1%
-0.066392074 1
 
< 0.1%
-0.4522759 1
 
< 0.1%
-0.19510215 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.95815093 1
< 0.1%
-0.953493 1
< 0.1%
-0.93724367 1
< 0.1%
-0.90735341 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9245658 1
< 0.1%
0.91185763 1
< 0.1%
0.83690505 1
< 0.1%
0.82396852 1
< 0.1%

tGravityAccMag-mean()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5438841147
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6124
Negative (%)83.3%
Memory size57.6 KiB
2025-03-02T10:03:43.320289image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995659755
Q1-0.983282085
median-0.883370955
Q3-0.106891715
95-th percentile0.21813428
Maximum1
Range2
Interquartile range (IQR)0.87639037

Descriptive statistics

Standard deviation0.4776531102
Coefficient of variation (CV)-0.8782258891
Kurtosis-1.387460611
Mean-0.5438841147
Median Absolute Deviation (MAD)0.11335795
Skewness0.431218975
Sum-3998.636011
Variance0.2281524937
MonotonicityNot monotonic
2025-03-02T10:03:43.367854image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96976657 2
 
< 0.1%
-0.99019663 2
 
< 0.1%
-0.96547729 1
 
< 0.1%
-0.94726537 1
 
< 0.1%
-0.92122282 1
 
< 0.1%
-0.90828591 1
 
< 0.1%
-0.93319858 1
 
< 0.1%
-0.93860292 1
 
< 0.1%
-0.93566284 1
 
< 0.1%
-0.94904383 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9995671 1
< 0.1%
-0.99950449 1
< 0.1%
-0.99950128 1
< 0.1%
-0.99944662 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93718708 1
< 0.1%
0.91708507 1
< 0.1%
0.89738085 1
< 0.1%
0.85922303 1
< 0.1%

tGravityAccMag-std()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5888838172
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6479
Negative (%)88.1%
Memory size57.6 KiB
2025-03-02T10:03:43.415074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9956270635
Q1-0.98336992
median-0.853936515
Q3-0.2325663375
95-th percentile0.2063516655
Maximum1
Range2
Interquartile range (IQR)0.7508035825

Descriptive statistics

Standard deviation0.4374715947
Coefficient of variation (CV)-0.7428826909
Kurtosis-0.8755329443
Mean-0.5888838172
Median Absolute Deviation (MAD)0.14267406
Skewness0.642437342
Sum-4329.473824
Variance0.1913813962
MonotonicityNot monotonic
2025-03-02T10:03:43.462187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99413169 2
 
< 0.1%
-0.44187892 2
 
< 0.1%
-0.9505515 1
 
< 0.1%
-0.88762585 1
 
< 0.1%
-0.91525032 1
 
< 0.1%
-0.92401753 1
 
< 0.1%
-0.92814583 1
 
< 0.1%
-0.93918731 1
 
< 0.1%
-0.95210119 1
 
< 0.1%
-0.97790573 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999104 1
< 0.1%
-0.99965974 1
< 0.1%
-0.99951497 1
< 0.1%
-0.99949156 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8390256 1
< 0.1%
0.83898529 1
< 0.1%
0.82565734 1
< 0.1%
0.77528512 1
< 0.1%

tGravityAccMag-mad()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6393741854
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6840
Negative (%)93.0%
Memory size57.6 KiB
2025-03-02T10:03:43.508862image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995906296
Q1-0.9847875625
median-0.86967286
Q3-0.324068185
95-th percentile0.04680846835
Maximum1
Range2
Interquartile range (IQR)0.6607193775

Descriptive statistics

Standard deviation0.3831922979
Coefficient of variation (CV)-0.5993240056
Kurtosis-0.8223738136
Mean-0.6393741854
Median Absolute Deviation (MAD)0.12715607
Skewness0.6509657565
Sum-4700.679011
Variance0.1468363372
MonotonicityNot monotonic
2025-03-02T10:03:43.557271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99226221 2
 
< 0.1%
-0.99291915 2
 
< 0.1%
-0.81867477 1
 
< 0.1%
-0.92099692 1
 
< 0.1%
-0.91965657 1
 
< 0.1%
-0.92946081 1
 
< 0.1%
-0.93650017 1
 
< 0.1%
-0.9417715 1
 
< 0.1%
-0.95607829 1
 
< 0.1%
-0.9794999 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9998582 1
< 0.1%
-0.99978989 1
< 0.1%
-0.99970233 1
< 0.1%
-0.99950282 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.75492627 1
< 0.1%
0.66544518 1
< 0.1%
0.65953803 1
< 0.1%
0.57763484 1
< 0.1%

tGravityAccMag-max()
Real number (ℝ)

Distinct5421
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5570988901
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6181
Negative (%)84.1%
Memory size57.6 KiB
2025-03-02T10:03:43.603973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.992992685
Q1-0.9811076125
median-0.862903675
Q3-0.1558279275
95-th percentile0.2459680755
Maximum1
Range2
Interquartile range (IQR)0.825279685

Descriptive statistics

Standard deviation0.4689177201
Coefficient of variation (CV)-0.8417136139
Kurtosis-1.048849206
Mean-0.5570988901
Median Absolute Deviation (MAD)0.13134667
Skewness0.5802827354
Sum-4095.79104
Variance0.2198838282
MonotonicityNot monotonic
2025-03-02T10:03:43.651265image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96964555 2
 
< 0.1%
-0.32449494 2
 
< 0.1%
-0.992346 2
 
< 0.1%
0.17715199 2
 
< 0.1%
0.11691884 2
 
< 0.1%
0.19511894 2
 
< 0.1%
0.17103562 2
 
< 0.1%
0.093036232 2
 
< 0.1%
-0.49215849 2
 
< 0.1%
0.044548666 2
 
< 0.1%
Other values (5411) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99839334 1
< 0.1%
-0.99835179 1
< 0.1%
-0.99815177 1
< 0.1%
-0.99794897 1
< 0.1%
ValueCountFrequency (%)
1 2
< 0.1%
0.88859462 1
< 0.1%
0.86077778 1
< 0.1%
0.83024464 1
< 0.1%
0.8150382 2
< 0.1%

tGravityAccMag-min()
Real number (ℝ)

Distinct5171
Distinct (%)70.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.838618285
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7346
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:43.698015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9971176985
Q1-0.9928158425
median-0.96851279
Q3-0.6962148625
95-th percentile-0.4785334
Maximum1
Range2
Interquartile range (IQR)0.29660098

Descriptive statistics

Standard deviation0.1915806203
Coefficient of variation (CV)-0.2284479408
Kurtosis1.991852713
Mean-0.838618285
Median Absolute Deviation (MAD)0.02910263
Skewness1.161227342
Sum-6165.521631
Variance0.03670313408
MonotonicityNot monotonic
2025-03-02T10:03:43.745394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99754974 3
 
< 0.1%
-0.99121846 3
 
< 0.1%
-0.51561786 2
 
< 0.1%
-0.99013525 2
 
< 0.1%
-0.9990883 2
 
< 0.1%
-0.99785709 2
 
< 0.1%
-0.99746696 2
 
< 0.1%
-0.98071784 2
 
< 0.1%
-0.98818856 2
 
< 0.1%
-0.7631459 2
 
< 0.1%
Other values (5161) 7330
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.99994637 2
< 0.1%
-0.99984705 2
< 0.1%
-0.99984494 2
< 0.1%
-0.99971725 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.71966323 1
< 0.1%
0.62049439 1
< 0.1%
0.25544495 1
< 0.1%
0.12813182 1
< 0.1%

tGravityAccMag-sma()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5438841147
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6124
Negative (%)83.3%
Memory size57.6 KiB
2025-03-02T10:03:43.790670image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995659755
Q1-0.983282085
median-0.883370955
Q3-0.106891715
95-th percentile0.21813428
Maximum1
Range2
Interquartile range (IQR)0.87639037

Descriptive statistics

Standard deviation0.4776531102
Coefficient of variation (CV)-0.8782258891
Kurtosis-1.387460611
Mean-0.5438841147
Median Absolute Deviation (MAD)0.11335795
Skewness0.431218975
Sum-3998.636011
Variance0.2281524937
MonotonicityNot monotonic
2025-03-02T10:03:43.838653image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96976657 2
 
< 0.1%
-0.99019663 2
 
< 0.1%
-0.96547729 1
 
< 0.1%
-0.94726537 1
 
< 0.1%
-0.92122282 1
 
< 0.1%
-0.90828591 1
 
< 0.1%
-0.93319858 1
 
< 0.1%
-0.93860292 1
 
< 0.1%
-0.93566284 1
 
< 0.1%
-0.94904383 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9995671 1
< 0.1%
-0.99950449 1
< 0.1%
-0.99950128 1
< 0.1%
-0.99944662 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93718708 1
< 0.1%
0.91708507 1
< 0.1%
0.89738085 1
< 0.1%
0.85922303 1
< 0.1%

tGravityAccMag-energy()
Real number (ℝ)

Distinct7286
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7705964479
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7248
Negative (%)98.6%
Memory size57.6 KiB
2025-03-02T10:03:43.885962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999940038
Q1-0.9996338875
median-0.989906235
Q3-0.5902741675
95-th percentile-0.2054830975
Maximum1
Range2
Interquartile range (IQR)0.40935972

Descriptive statistics

Standard deviation0.2923723644
Coefficient of variation (CV)-0.379410475
Kurtosis1.340096576
Mean-0.7705964479
Median Absolute Deviation (MAD)0.01006044
Skewness1.224038783
Sum-5665.425085
Variance0.08548159944
MonotonicityNot monotonic
2025-03-02T10:03:43.932360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99981079 3
 
< 0.1%
-0.99962373 2
 
< 0.1%
-0.99985519 2
 
< 0.1%
-0.9993203 2
 
< 0.1%
-0.99992211 2
 
< 0.1%
-0.99985355 2
 
< 0.1%
-0.99986005 2
 
< 0.1%
-0.9999006 2
 
< 0.1%
-0.99995296 2
 
< 0.1%
-0.99996369 2
 
< 0.1%
Other values (7276) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999971 1
< 0.1%
-0.99999924 1
< 0.1%
-0.99999912 1
< 0.1%
-0.9999984 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94821697 1
< 0.1%
0.91848362 1
< 0.1%
0.78769853 1
< 0.1%
0.73601119 1
< 0.1%

tGravityAccMag-iqr()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6963843394
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7161
Negative (%)97.4%
Memory size57.6 KiB
2025-03-02T10:03:43.978450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9951156395
Q1-0.9853682975
median-0.888445805
Q3-0.4373471175
95-th percentile-0.1148900655
Maximum1
Range2
Interquartile range (IQR)0.54802118

Descriptive statistics

Standard deviation0.325080131
Coefficient of variation (CV)-0.466811375
Kurtosis-0.4148126826
Mean-0.6963843394
Median Absolute Deviation (MAD)0.10752948
Skewness0.7535272635
Sum-5119.817663
Variance0.1056770916
MonotonicityNot monotonic
2025-03-02T10:03:44.025950image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.45843768 2
 
< 0.1%
-0.96896881 2
 
< 0.1%
-0.9576374 1
 
< 0.1%
-0.88785974 1
 
< 0.1%
-0.93784433 1
 
< 0.1%
-0.9214813 1
 
< 0.1%
-0.9306587 1
 
< 0.1%
-0.94628801 1
 
< 0.1%
-0.94754046 1
 
< 0.1%
-0.95970052 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99961396 1
< 0.1%
-0.99923982 1
< 0.1%
-0.99921816 1
< 0.1%
-0.99912623 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.85783437 1
< 0.1%
0.71978112 1
< 0.1%
0.63046449 1
< 0.1%
0.50359005 1
< 0.1%

tGravityAccMag-entropy()
Real number (ℝ)

Distinct5329
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1243239739
Minimum-0.99537696
Maximum1
Zeros0
Zeros (%)0.0%
Negative3504
Negative (%)47.7%
Memory size57.6 KiB
2025-03-02T10:03:44.072788image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99537696
5-th percentile-0.826198947
Q1-0.566107555
median0.1435659
Q30.80839346
95-th percentile0.88969225
Maximum1
Range1.99537696
Interquartile range (IQR)1.374501015

Descriptive statistics

Standard deviation0.6767465938
Coefficient of variation (CV)5.443411858
Kurtosis-1.715845365
Mean0.1243239739
Median Absolute Deviation (MAD)0.67251896
Skewness-0.1362928467
Sum914.0298563
Variance0.4579859523
MonotonicityNot monotonic
2025-03-02T10:03:44.210042image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8142561 16
 
0.2%
0.857558 16
 
0.2%
0.82303734 15
 
0.2%
0.84775902 15
 
0.2%
0.90991996 14
 
0.2%
0.87430946 14
 
0.2%
0.87641704 14
 
0.2%
0.89453716 14
 
0.2%
0.9008599 14
 
0.2%
0.8931685 13
 
0.2%
Other values (5319) 7207
98.0%
ValueCountFrequency (%)
-0.99537696 1
< 0.1%
-0.99417307 1
< 0.1%
-0.99388612 1
< 0.1%
-0.9861226 1
< 0.1%
-0.97640943 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9797723 1
< 0.1%
0.97418848 1
< 0.1%
0.9720809 1
< 0.1%
0.9643895 2
< 0.1%

tGravityAccMag-arCoeff()1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07248109272
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4373
Negative (%)59.5%
Memory size57.6 KiB
2025-03-02T10:03:44.254686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.545133991
Q1-0.2957471975
median-0.076562193
Q30.13949355
95-th percentile0.41685228
Maximum1
Range2
Interquartile range (IQR)0.4352407475

Descriptive statistics

Standard deviation0.2949941852
Coefficient of variation (CV)-4.069946715
Kurtosis-0.5217520118
Mean-0.07248109272
Median Absolute Deviation (MAD)0.217940328
Skewness0.05771175885
Sum-532.8809937
Variance0.08702156931
MonotonicityNot monotonic
2025-03-02T10:03:44.302485image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.17317874 1
 
< 0.1%
-0.29168691 1
 
< 0.1%
-0.36275775 1
 
< 0.1%
-0.13550776 1
 
< 0.1%
-0.32763025 1
 
< 0.1%
-0.56757364 1
 
< 0.1%
-0.21682615 1
 
< 0.1%
-0.046657153 1
 
< 0.1%
0.01833927 1
 
< 0.1%
0.24907143 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.97108486 1
< 0.1%
-0.96695981 1
< 0.1%
-0.95491541 1
< 0.1%
-0.95461335 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87660105 1
< 0.1%
0.82173217 1
< 0.1%
0.75927055 1
< 0.1%
0.72770307 1
< 0.1%

tGravityAccMag-arCoeff()2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02496426938
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3456
Negative (%)47.0%
Memory size57.6 KiB
2025-03-02T10:03:44.351807image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3503332595
Q1-0.1512952575
median0.018165052
Q30.19206825
95-th percentile0.4294127495
Maximum1
Range2
Interquartile range (IQR)0.3433635075

Descriptive statistics

Standard deviation0.2384840265
Coefficient of variation (CV)9.553014464
Kurtosis-0.2943675503
Mean0.02496426938
Median Absolute Deviation (MAD)0.171695368
Skewness0.1863054443
Sum183.5373085
Variance0.05687463091
MonotonicityNot monotonic
2025-03-02T10:03:44.398943image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.02289666 1
 
< 0.1%
0.10437343 1
 
< 0.1%
0.28489508 1
 
< 0.1%
0.19179402 1
 
< 0.1%
0.31700217 1
 
< 0.1%
0.41491588 1
 
< 0.1%
0.1272433 1
 
< 0.1%
0.044959933 1
 
< 0.1%
-0.10848571 1
 
< 0.1%
-0.20268146 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.82174058 1
< 0.1%
-0.61896989 1
< 0.1%
-0.61305945 1
< 0.1%
-0.60766466 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90680896 1
< 0.1%
0.90123451 1
< 0.1%
0.85129315 1
< 0.1%
0.80932287 1
< 0.1%

tGravityAccMag-arCoeff()3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06069157202
Minimum-1
Maximum0.994731
Zeros0
Zeros (%)0.0%
Negative2900
Negative (%)39.4%
Memory size57.6 KiB
2025-03-02T10:03:44.445305image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.368386721
Q1-0.108297785
median0.0694581315
Q30.239137005
95-th percentile0.462714648
Maximum0.994731
Range1.994731
Interquartile range (IQR)0.34743479

Descriptive statistics

Standard deviation0.2546515937
Coefficient of variation (CV)4.195831237
Kurtosis0.1229864626
Mean0.06069157202
Median Absolute Deviation (MAD)0.17330459
Skewness-0.1691695377
Sum446.2044375
Variance0.06484743417
MonotonicityNot monotonic
2025-03-02T10:03:44.492510image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.094831568 1
 
< 0.1%
0.14836405 1
 
< 0.1%
-0.25062049 1
 
< 0.1%
-0.10528547 1
 
< 0.1%
-0.14511392 1
 
< 0.1%
-0.12104695 1
 
< 0.1%
0.012638039 1
 
< 0.1%
-0.018564155 1
 
< 0.1%
0.41537783 1
 
< 0.1%
0.17875229 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.912329 1
< 0.1%
-0.91104749 1
< 0.1%
-0.82827806 1
< 0.1%
-0.80583875 1
< 0.1%
ValueCountFrequency (%)
0.994731 1
< 0.1%
0.95216776 1
< 0.1%
0.91977667 1
< 0.1%
0.88837244 1
< 0.1%
0.88824037 1
< 0.1%

tGravityAccMag-arCoeff()4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05867490293
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4307
Negative (%)58.6%
Memory size57.6 KiB
2025-03-02T10:03:44.538906image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5010751915
Q1-0.2368217325
median-0.0581696925
Q30.12638597
95-th percentile0.371422703
Maximum1
Range2
Interquartile range (IQR)0.3632077025

Descriptive statistics

Standard deviation0.2651239097
Coefficient of variation (CV)-4.518523192
Kurtosis-0.04368116755
Mean-0.05867490293
Median Absolute Deviation (MAD)0.1810004375
Skewness-0.01687633712
Sum-431.3778863
Variance0.07029068749
MonotonicityNot monotonic
2025-03-02T10:03:44.584816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.19181715 1
 
< 0.1%
-0.032327193 1
 
< 0.1%
0.20754247 1
 
< 0.1%
-0.18812681 1
 
< 0.1%
-0.097430501 1
 
< 0.1%
0.027368674 1
 
< 0.1%
-0.020166758 1
 
< 0.1%
-0.066392074 1
 
< 0.1%
-0.4522759 1
 
< 0.1%
-0.19510215 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.95815093 1
< 0.1%
-0.953493 1
< 0.1%
-0.93724367 1
< 0.1%
-0.90735341 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9245658 1
< 0.1%
0.91185763 1
< 0.1%
0.83690505 1
< 0.1%
0.82396852 1
< 0.1%

tBodyAccJerkMag-mean()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6504525075
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6968
Negative (%)94.8%
Memory size57.6 KiB
2025-03-02T10:03:44.630681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.994857135
Q1-0.990174885
median-0.953692005
Q3-0.2869159575
95-th percentile0.00703310841
Maximum1
Range2
Interquartile range (IQR)0.7032589275

Descriptive statistics

Standard deviation0.3956358414
Coefficient of variation (CV)-0.6082470847
Kurtosis-0.9426357138
Mean-0.6504525075
Median Absolute Deviation (MAD)0.041500135
Skewness0.6417515458
Sum-4782.126835
Variance0.156527719
MonotonicityNot monotonic
2025-03-02T10:03:44.678845image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98964576 2
 
< 0.1%
-0.96977274 2
 
< 0.1%
-0.9745275 1
 
< 0.1%
-0.97874929 1
 
< 0.1%
-0.97407674 1
 
< 0.1%
-0.9678049 1
 
< 0.1%
-0.96036519 1
 
< 0.1%
-0.96205952 1
 
< 0.1%
-0.96908829 1
 
< 0.1%
-0.97311361 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99921201 1
< 0.1%
-0.99912986 1
< 0.1%
-0.99877499 1
< 0.1%
-0.99827207 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96809292 1
< 0.1%
0.86445997 1
< 0.1%
0.72674448 1
< 0.1%
0.71049532 1
< 0.1%

tBodyAccJerkMag-std()
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6326756315
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6711
Negative (%)91.3%
Memory size57.6 KiB
2025-03-02T10:03:44.724637image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996134385
Q1-0.9912704275
median-0.93942446
Q3-0.27496565
95-th percentile0.103508893
Maximum1
Range2
Interquartile range (IQR)0.7163047775

Descriptive statistics

Standard deviation0.4188332446
Coefficient of variation (CV)-0.6620031241
Kurtosis-0.7988829893
Mean-0.6326756315
Median Absolute Deviation (MAD)0.057236275
Skewness0.7122759209
Sum-4651.431243
Variance0.1754212868
MonotonicityNot monotonic
2025-03-02T10:03:44.771758image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99288786 2
 
< 0.1%
-0.99167354 2
 
< 0.1%
-0.99186534 2
 
< 0.1%
-0.99433641 1
 
< 0.1%
-0.98539064 1
 
< 0.1%
-0.96574689 1
 
< 0.1%
-0.95275631 1
 
< 0.1%
-0.93176756 1
 
< 0.1%
-0.93878769 1
 
< 0.1%
-0.97373464 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99993168 1
< 0.1%
-0.99991721 1
< 0.1%
-0.99978516 1
< 0.1%
-0.99957786 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8082648 1
< 0.1%
0.79470834 1
< 0.1%
0.77374162 1
< 0.1%
0.76943856 1
< 0.1%

tBodyAccJerkMag-mad()
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6514171958
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6853
Negative (%)93.2%
Memory size57.6 KiB
2025-03-02T10:03:44.816931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996201957
Q1-0.991744425
median-0.94606123
Q3-0.3103654625
95-th percentile0.0455194166
Maximum1
Range2
Interquartile range (IQR)0.6813789625

Descriptive statistics

Standard deviation0.3992133769
Coefficient of variation (CV)-0.612838254
Kurtosis-0.7845273414
Mean-0.6514171958
Median Absolute Deviation (MAD)0.050591675
Skewness0.7162187287
Sum-4789.219224
Variance0.1593713203
MonotonicityNot monotonic
2025-03-02T10:03:44.864801image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99542791 2
 
< 0.1%
-0.99297129 2
 
< 0.1%
-0.99131791 2
 
< 0.1%
-0.9955274 2
 
< 0.1%
-0.99280297 2
 
< 0.1%
-0.99450037 1
 
< 0.1%
-0.97136365 1
 
< 0.1%
-0.98963017 1
 
< 0.1%
-0.98810345 1
 
< 0.1%
-0.98875297 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99983401 1
< 0.1%
-0.99964233 1
< 0.1%
-0.99951418 1
< 0.1%
-0.99950017 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.77090347 1
< 0.1%
0.76113366 1
< 0.1%
0.73063368 1
< 0.1%
0.71385734 1
< 0.1%

tBodyAccJerkMag-max()
Real number (ℝ)

Distinct5284
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6425781966
Minimum-1
Maximum0.98365438
Zeros0
Zeros (%)0.0%
Negative6811
Negative (%)92.6%
Memory size57.6 KiB
2025-03-02T10:03:44.910871image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9957772155
Q1-0.98979471
median-0.93556474
Q3-0.2976867375
95-th percentile0.07496226335
Maximum0.98365438
Range1.98365438
Interquartile range (IQR)0.6921079725

Descriptive statistics

Standard deviation0.4063109479
Coefficient of variation (CV)-0.6323136236
Kurtosis-0.6704752739
Mean-0.6425781966
Median Absolute Deviation (MAD)0.06066626
Skewness0.7459775956
Sum-4724.234901
Variance0.1650885864
MonotonicityNot monotonic
2025-03-02T10:03:44.958852image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99013355 3
 
< 0.1%
-0.97566584 2
 
< 0.1%
-0.48409595 2
 
< 0.1%
-0.28682214 2
 
< 0.1%
-0.2847046 2
 
< 0.1%
-0.39741445 2
 
< 0.1%
-0.13449384 2
 
< 0.1%
-0.38546736 2
 
< 0.1%
-0.17194025 2
 
< 0.1%
-0.14338223 2
 
< 0.1%
Other values (5274) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99973436 1
< 0.1%
-0.99971152 1
< 0.1%
-0.99970339 1
< 0.1%
-0.99954924 1
< 0.1%
ValueCountFrequency (%)
0.98365438 1
< 0.1%
0.96796226 1
< 0.1%
0.83579233 2
< 0.1%
0.8093414 2
< 0.1%
0.72984301 1
< 0.1%

tBodyAccJerkMag-min()
Real number (ℝ)

Distinct5143
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7856888835
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7281
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:03:45.005498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9925957155
Q1-0.98373599
median-0.964246455
Q3-0.6055534
95-th percentile-0.263872094
Maximum1
Range2
Interquartile range (IQR)0.37818259

Descriptive statistics

Standard deviation0.262522837
Coefficient of variation (CV)-0.3341307769
Kurtosis1.097755181
Mean-0.7856888835
Median Absolute Deviation (MAD)0.028632555
Skewness1.254273328
Sum-5776.384672
Variance0.06891823996
MonotonicityNot monotonic
2025-03-02T10:03:45.053432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98294526 3
 
< 0.1%
-0.99120847 2
 
< 0.1%
-0.38893103 2
 
< 0.1%
-0.992522 2
 
< 0.1%
-0.46127583 2
 
< 0.1%
-0.78115927 2
 
< 0.1%
-0.98942264 2
 
< 0.1%
-0.99319155 2
 
< 0.1%
-0.99674621 2
 
< 0.1%
-0.80160406 2
 
< 0.1%
Other values (5133) 7331
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.99927351 2
< 0.1%
-0.99921985 2
< 0.1%
-0.9989277 2
< 0.1%
-0.99890648 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.54699231 1
< 0.1%
0.5377499 1
< 0.1%
0.4412473 1
< 0.1%
0.41466315 1
< 0.1%

tBodyAccJerkMag-sma()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6504525075
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6968
Negative (%)94.8%
Memory size57.6 KiB
2025-03-02T10:03:45.100687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.994857135
Q1-0.990174885
median-0.953692005
Q3-0.2869159575
95-th percentile0.00703310841
Maximum1
Range2
Interquartile range (IQR)0.7032589275

Descriptive statistics

Standard deviation0.3956358414
Coefficient of variation (CV)-0.6082470847
Kurtosis-0.9426357138
Mean-0.6504525075
Median Absolute Deviation (MAD)0.041500135
Skewness0.6417515458
Sum-4782.126835
Variance0.156527719
MonotonicityNot monotonic
2025-03-02T10:03:45.148065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98964576 2
 
< 0.1%
-0.96977274 2
 
< 0.1%
-0.9745275 1
 
< 0.1%
-0.97874929 1
 
< 0.1%
-0.97407674 1
 
< 0.1%
-0.9678049 1
 
< 0.1%
-0.96036519 1
 
< 0.1%
-0.96205952 1
 
< 0.1%
-0.96908829 1
 
< 0.1%
-0.97311361 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99921201 1
< 0.1%
-0.99912986 1
< 0.1%
-0.99877499 1
< 0.1%
-0.99827207 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96809292 1
< 0.1%
0.86445997 1
< 0.1%
0.72674448 1
< 0.1%
0.71049532 1
< 0.1%

tBodyAccJerkMag-energy()
Real number (ℝ)

Distinct7195
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.850016395
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7315
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:03:45.193144image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99992101
Q1-0.9998245675
median-0.997963985
Q3-0.7285114675
95-th percentile-0.449509536
Maximum1
Range2
Interquartile range (IQR)0.2713131

Descriptive statistics

Standard deviation0.2122744286
Coefficient of variation (CV)-0.249729805
Kurtosis4.756614157
Mean-0.850016395
Median Absolute Deviation (MAD)0.001969245
Skewness1.78118181
Sum-6249.320536
Variance0.04506043302
MonotonicityNot monotonic
2025-03-02T10:03:45.242253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99987674 3
 
< 0.1%
-0.99991472 3
 
< 0.1%
-0.99991274 3
 
< 0.1%
-0.99992618 3
 
< 0.1%
-0.99987205 3
 
< 0.1%
-0.99980259 3
 
< 0.1%
-0.99984293 2
 
< 0.1%
-0.99992935 2
 
< 0.1%
-0.99984709 2
 
< 0.1%
-0.99988415 2
 
< 0.1%
Other values (7185) 7326
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998324 1
< 0.1%
-0.99997864 1
< 0.1%
-0.99997788 1
< 0.1%
-0.99997763 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9151544 1
< 0.1%
0.74326933 1
< 0.1%
0.47154346 1
< 0.1%
0.40889365 1
< 0.1%

tBodyAccJerkMag-iqr()
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7020248508
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7170
Negative (%)97.5%
Memory size57.6 KiB
2025-03-02T10:03:45.289893image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996340016
Q1-0.9924161675
median-0.96016919
Q3-0.4124161425
95-th percentile-0.08997263215
Maximum1
Range2
Interquartile range (IQR)0.580000025

Descriptive statistics

Standard deviation0.3453440799
Coefficient of variation (CV)-0.4919257196
Kurtosis-0.6137661113
Mean-0.7020248508
Median Absolute Deviation (MAD)0.036576395
Skewness0.7635071779
Sum-5161.286703
Variance0.1192625335
MonotonicityNot monotonic
2025-03-02T10:03:45.338357image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99431503 2
 
< 0.1%
-0.99445768 2
 
< 0.1%
-0.99355374 2
 
< 0.1%
-0.29198251 2
 
< 0.1%
-0.99263485 2
 
< 0.1%
-0.9929337 1
 
< 0.1%
-0.99017101 1
 
< 0.1%
-0.98104935 1
 
< 0.1%
-0.99031088 1
 
< 0.1%
-0.99250294 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99994266 1
< 0.1%
-0.99993867 1
< 0.1%
-0.99993496 1
< 0.1%
-0.99979328 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.69132956 1
< 0.1%
0.59188091 1
< 0.1%
0.56924811 1
< 0.1%
0.52364576 1
< 0.1%

tBodyAccJerkMag-entropy()
Real number (ℝ)

Distinct5605
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07412852506
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4012
Negative (%)54.6%
Memory size57.6 KiB
2025-03-02T10:03:45.474646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8998844
Q1-0.80862268
median-0.355730315
Q30.70444528
95-th percentile0.8277526075
Maximum1
Range2
Interquartile range (IQR)1.51306796

Descriptive statistics

Standard deviation0.7272645709
Coefficient of variation (CV)-9.810859859
Kurtosis-1.8422968
Mean-0.07412852506
Median Absolute Deviation (MAD)0.543233695
Skewness0.1144497994
Sum-544.9929162
Variance0.5289137561
MonotonicityNot monotonic
2025-03-02T10:03:45.521897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.88667095 9
 
0.1%
-0.8998844 9
 
0.1%
-0.86207793 8
 
0.1%
-0.9064688 8
 
0.1%
-0.88557034 8
 
0.1%
-0.87402519 8
 
0.1%
-0.8472633 8
 
0.1%
-0.87708776 8
 
0.1%
-0.85760305 7
 
0.1%
-0.85846933 7
 
0.1%
Other values (5595) 7272
98.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9962925 1
< 0.1%
-0.9948484 1
< 0.1%
-0.99058873 1
< 0.1%
-0.98949309 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98742353 1
< 0.1%
0.97125017 1
< 0.1%
0.96702151 1
< 0.1%
0.96501669 2
< 0.1%
Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07938203188
Minimum-1
Maximum0.86283136
Zeros0
Zeros (%)0.0%
Negative2714
Negative (%)36.9%
Memory size57.6 KiB
2025-03-02T10:03:45.567293image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.335255202
Q1-0.0892382805
median0.091772568
Q30.261254245
95-th percentile0.447313779
Maximum0.86283136
Range1.86283136
Interquartile range (IQR)0.3504925255

Descriptive statistics

Standard deviation0.2437022928
Coefficient of variation (CV)3.069993134
Kurtosis-0.2158917609
Mean0.07938203188
Median Absolute Deviation (MAD)0.174260352
Skewness-0.2569271572
Sum583.6166983
Variance0.05939080753
MonotonicityNot monotonic
2025-03-02T10:03:45.612129image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29374448 2
 
< 0.1%
-0.17930988 2
 
< 0.1%
0.28308522 1
 
< 0.1%
0.43084234 1
 
< 0.1%
0.17743729 1
 
< 0.1%
0.19098195 1
 
< 0.1%
0.0010523937 1
 
< 0.1%
0.39350007 1
 
< 0.1%
0.41210074 1
 
< 0.1%
0.4389744 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.91169086 1
< 0.1%
-0.91151439 1
< 0.1%
-0.78549536 1
< 0.1%
-0.72364662 1
< 0.1%
ValueCountFrequency (%)
0.86283136 1
< 0.1%
0.77264382 1
< 0.1%
0.76069832 1
< 0.1%
0.74515622 1
< 0.1%
0.73792847 1
< 0.1%

tBodyAccJerkMag-arCoeff()2
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02972722723
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4279
Negative (%)58.2%
Memory size57.6 KiB
2025-03-02T10:03:45.658282image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3927377695
Q1-0.2123618525
median-0.0574429145
Q30.138298065
95-th percentile0.405442322
Maximum1
Range2
Interquartile range (IQR)0.3506599175

Descriptive statistics

Standard deviation0.2468059382
Coefficient of variation (CV)-8.302353135
Kurtosis-0.05653270423
Mean-0.02972722723
Median Absolute Deviation (MAD)0.1728666305
Skewness0.3977989653
Sum-218.5545746
Variance0.06091317111
MonotonicityNot monotonic
2025-03-02T10:03:45.706124image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.23730869 1
 
< 0.1%
-0.29074619 1
 
< 0.1%
-0.13726384 1
 
< 0.1%
-0.272611 1
 
< 0.1%
-0.30470388 1
 
< 0.1%
-0.055953765 1
 
< 0.1%
-0.18253504 1
 
< 0.1%
-0.18488673 1
 
< 0.1%
-0.23790377 1
 
< 0.1%
0.1170199 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.80465299 1
< 0.1%
-0.77219908 1
< 0.1%
-0.74274466 1
< 0.1%
-0.70946641 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93904529 1
< 0.1%
0.93223654 1
< 0.1%
0.91292261 1
< 0.1%
0.88565157 1
< 0.1%

tBodyAccJerkMag-arCoeff()3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08434293301
Minimum-0.83055874
Maximum0.91434541
Zeros0
Zeros (%)0.0%
Negative4778
Negative (%)65.0%
Memory size57.6 KiB
2025-03-02T10:03:45.751904image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.83055874
5-th percentile-0.461482508
Q1-0.2431879725
median-0.08724677
Q30.06761113975
95-th percentile0.30930208
Maximum0.91434541
Range1.74490415
Interquartile range (IQR)0.3107991123

Descriptive statistics

Standard deviation0.2361169361
Coefficient of variation (CV)-2.7994869
Kurtosis0.1665683255
Mean-0.08434293301
Median Absolute Deviation (MAD)0.155478748
Skewness0.1416275096
Sum-620.0892435
Variance0.05575120752
MonotonicityNot monotonic
2025-03-02T10:03:45.795899image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.10543219 1
 
< 0.1%
-0.31079019 1
 
< 0.1%
0.17784327 1
 
< 0.1%
-0.031305075 1
 
< 0.1%
-0.057608768 1
 
< 0.1%
0.18123832 1
 
< 0.1%
-0.0088490153 1
 
< 0.1%
-0.033091384 1
 
< 0.1%
-0.21697714 1
 
< 0.1%
-0.36879148 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.83055874 1
< 0.1%
-0.80399159 1
< 0.1%
-0.79095589 1
< 0.1%
-0.78803198 1
< 0.1%
-0.77977282 1
< 0.1%
ValueCountFrequency (%)
0.91434541 1
< 0.1%
0.89319414 1
< 0.1%
0.83091139 1
< 0.1%
0.7856919 1
< 0.1%
0.77363755 1
< 0.1%

tBodyAccJerkMag-arCoeff()4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04938426463
Minimum-1
Maximum0.97433286
Zeros0
Zeros (%)0.0%
Negative4294
Negative (%)58.4%
Memory size57.6 KiB
2025-03-02T10:03:45.841253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.463576491
Q1-0.22519654
median-0.051537088
Q30.12297235
95-th percentile0.377816305
Maximum0.97433286
Range1.97433286
Interquartile range (IQR)0.34816889

Descriptive statistics

Standard deviation0.2559638165
Coefficient of variation (CV)-5.183104748
Kurtosis0.01697022756
Mean-0.04938426463
Median Absolute Deviation (MAD)0.173963082
Skewness0.09298812204
Sum-363.0731136
Variance0.06551747537
MonotonicityNot monotonic
2025-03-02T10:03:45.887822image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.038212313 1
 
< 0.1%
-0.012759863 1
 
< 0.1%
0.015827145 1
 
< 0.1%
0.16579978 1
 
< 0.1%
0.18662462 1
 
< 0.1%
-0.21173457 1
 
< 0.1%
-0.37193381 1
 
< 0.1%
-0.34258067 1
 
< 0.1%
-0.14456802 1
 
< 0.1%
-0.027682486 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.93019849 1
< 0.1%
-0.91421822 1
< 0.1%
-0.88040069 1
< 0.1%
-0.83789685 1
< 0.1%
ValueCountFrequency (%)
0.97433286 1
< 0.1%
0.87727768 1
< 0.1%
0.84072014 1
< 0.1%
0.81049139 1
< 0.1%
0.79587479 1
< 0.1%

tBodyGyroMag-mean()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6029026742
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6811
Negative (%)92.6%
Memory size57.6 KiB
2025-03-02T10:03:45.933692image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9949943045
Q1-0.9799807675
median-0.83452605
Q3-0.23294902
95-th percentile0.05954872155
Maximum1
Range2
Interquartile range (IQR)0.7470317475

Descriptive statistics

Standard deviation0.4077628487
Coefficient of variation (CV)-0.6763327916
Kurtosis-1.047700049
Mean-0.6029026742
Median Absolute Deviation (MAD)0.16109217
Skewness0.5337166288
Sum-4432.540461
Variance0.1662705408
MonotonicityNot monotonic
2025-03-02T10:03:45.979634image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96895908 1
 
< 0.1%
-0.80097554 1
 
< 0.1%
-0.84450358 1
 
< 0.1%
-0.88386048 1
 
< 0.1%
-0.87507578 1
 
< 0.1%
-0.82469303 1
 
< 0.1%
-0.87541971 1
 
< 0.1%
-0.96808955 1
 
< 0.1%
-0.97965201 1
 
< 0.1%
-0.98128725 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99975613 1
< 0.1%
-0.99940447 1
< 0.1%
-0.99932085 1
< 0.1%
-0.99913682 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92761841 1
< 0.1%
0.84718912 1
< 0.1%
0.80746328 1
< 0.1%
0.79555241 1
< 0.1%

tBodyGyroMag-std()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6557730766
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7011
Negative (%)95.4%
Memory size57.6 KiB
2025-03-02T10:03:46.026068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995560004
Q1-0.9797981925
median-0.837471655
Q3-0.3712196225
95-th percentile-0.01204674205
Maximum1
Range2
Interquartile range (IQR)0.60857857

Descriptive statistics

Standard deviation0.3624545116
Coefficient of variation (CV)-0.5527133158
Kurtosis-0.1790656706
Mean-0.6557730766
Median Absolute Deviation (MAD)0.15821388
Skewness0.8239050835
Sum-4821.243659
Variance0.131373273
MonotonicityNot monotonic
2025-03-02T10:03:46.072444image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96433518 1
 
< 0.1%
-0.78134496 1
 
< 0.1%
-0.82588331 1
 
< 0.1%
-0.86780283 1
 
< 0.1%
-0.83102609 1
 
< 0.1%
-0.78296401 1
 
< 0.1%
-0.77706637 1
 
< 0.1%
-0.95394197 1
 
< 0.1%
-0.97644101 1
 
< 0.1%
-0.97379324 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99974612 1
< 0.1%
-0.99964891 1
< 0.1%
-0.99959126 1
< 0.1%
-0.9995467 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92063899 1
< 0.1%
0.85485704 1
< 0.1%
0.7872928 1
< 0.1%
0.75494532 1
< 0.1%

tBodyGyroMag-mad()
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.622623894
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6837
Negative (%)93.0%
Memory size57.6 KiB
2025-03-02T10:03:46.118250image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9950665615
Q1-0.978026155
median-0.818968925
Q3-0.3065857725
95-th percentile0.07289809145
Maximum1
Range2
Interquartile range (IQR)0.6714403825

Descriptive statistics

Standard deviation0.3948897949
Coefficient of variation (CV)-0.6342348867
Kurtosis-0.4196202723
Mean-0.622623894
Median Absolute Deviation (MAD)0.176200315
Skewness0.7616424905
Sum-4577.530869
Variance0.1559379501
MonotonicityNot monotonic
2025-03-02T10:03:46.165145image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99217198 2
 
< 0.1%
-0.95448157 2
 
< 0.1%
-0.99384466 2
 
< 0.1%
-0.95724477 1
 
< 0.1%
-0.88441169 1
 
< 0.1%
-0.86977948 1
 
< 0.1%
-0.82407254 1
 
< 0.1%
-0.74410184 1
 
< 0.1%
-0.7532119 1
 
< 0.1%
-0.95229624 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99956953 1
< 0.1%
-0.99951499 1
< 0.1%
-0.99944656 1
< 0.1%
-0.99944404 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99344582 1
< 0.1%
0.89404634 1
< 0.1%
0.84406725 1
< 0.1%
0.80354508 1
< 0.1%

tBodyGyroMag-max()
Real number (ℝ)

Distinct5524
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.692168802
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7117
Negative (%)96.8%
Memory size57.6 KiB
2025-03-02T10:03:46.212721image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9960883055
Q1-0.982203125
median-0.860467985
Q3-0.44015636
95-th percentile-0.100364046
Maximum1
Range2
Interquartile range (IQR)0.542046765

Descriptive statistics

Standard deviation0.3285306195
Coefficient of variation (CV)-0.4746394501
Kurtosis0.2141177988
Mean-0.692168802
Median Absolute Deviation (MAD)0.13606788
Skewness0.9081625065
Sum-5088.825032
Variance0.107932368
MonotonicityNot monotonic
2025-03-02T10:03:46.260650image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.45416902 2
 
< 0.1%
-0.33431841 2
 
< 0.1%
-0.36295659 2
 
< 0.1%
-0.5727239 2
 
< 0.1%
0.13140542 2
 
< 0.1%
-0.66569329 2
 
< 0.1%
0.041026435 2
 
< 0.1%
-0.64433808 2
 
< 0.1%
0.43453884 2
 
< 0.1%
-0.15199444 2
 
< 0.1%
Other values (5514) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99996776 1
< 0.1%
-0.99991174 1
< 0.1%
-0.99988585 1
< 0.1%
-0.9998682 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87253651 2
< 0.1%
0.68786904 2
< 0.1%
0.61791837 1
< 0.1%
0.57395734 1
< 0.1%

tBodyGyroMag-min()
Real number (ℝ)

Distinct5296
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7349779351
Minimum-0.99983528
Maximum1
Zeros0
Zeros (%)0.0%
Negative7153
Negative (%)97.3%
Memory size57.6 KiB
2025-03-02T10:03:46.307879image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99983528
5-th percentile-0.9968949605
Q1-0.9892420125
median-0.899416515
Q3-0.53488232
95-th percentile-0.14963659
Maximum1
Range1.99983528
Interquartile range (IQR)0.4543596925

Descriptive statistics

Standard deviation0.309886873
Coefficient of variation (CV)-0.4216274505
Kurtosis1.048736726
Mean-0.7349779351
Median Absolute Deviation (MAD)0.097670035
Skewness1.191070716
Sum-5403.557779
Variance0.09602987406
MonotonicityNot monotonic
2025-03-02T10:03:46.355915image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99155366 2
 
< 0.1%
-0.99502262 2
 
< 0.1%
-0.98021064 2
 
< 0.1%
-0.94644824 2
 
< 0.1%
-0.98756333 2
 
< 0.1%
-0.99324739 2
 
< 0.1%
-0.98780645 2
 
< 0.1%
-0.95870626 2
 
< 0.1%
-0.98148734 2
 
< 0.1%
-0.99391257 2
 
< 0.1%
Other values (5286) 7332
99.7%
ValueCountFrequency (%)
-0.99983528 2
< 0.1%
-0.99972984 2
< 0.1%
-0.99959104 2
< 0.1%
-0.99957154 2
< 0.1%
-0.99954487 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.75117574 1
< 0.1%
0.74830653 1
< 0.1%
0.70314361 1
< 0.1%
0.67417045 1
< 0.1%

tBodyGyroMag-sma()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6029026742
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6811
Negative (%)92.6%
Memory size57.6 KiB
2025-03-02T10:03:46.404678image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9949943045
Q1-0.9799807675
median-0.83452605
Q3-0.23294902
95-th percentile0.05954872155
Maximum1
Range2
Interquartile range (IQR)0.7470317475

Descriptive statistics

Standard deviation0.4077628487
Coefficient of variation (CV)-0.6763327916
Kurtosis-1.047700049
Mean-0.6029026742
Median Absolute Deviation (MAD)0.16109217
Skewness0.5337166288
Sum-4432.540461
Variance0.1662705408
MonotonicityNot monotonic
2025-03-02T10:03:46.453492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96895908 1
 
< 0.1%
-0.80097554 1
 
< 0.1%
-0.84450358 1
 
< 0.1%
-0.88386048 1
 
< 0.1%
-0.87507578 1
 
< 0.1%
-0.82469303 1
 
< 0.1%
-0.87541971 1
 
< 0.1%
-0.96808955 1
 
< 0.1%
-0.97965201 1
 
< 0.1%
-0.98128725 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99975613 1
< 0.1%
-0.99940447 1
< 0.1%
-0.99932085 1
< 0.1%
-0.99913682 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92761841 1
< 0.1%
0.84718912 1
< 0.1%
0.80746328 1
< 0.1%
0.79555241 1
< 0.1%

tBodyGyroMag-energy()
Real number (ℝ)

Distinct7288
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8295013677
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7288
Negative (%)99.1%
Memory size57.6 KiB
2025-03-02T10:03:46.499535image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999630245
Q1-0.9996800525
median-0.98352409
Q3-0.693042135
95-th percentile-0.4004602745
Maximum1
Range2
Interquartile range (IQR)0.3066379175

Descriptive statistics

Standard deviation0.2305756068
Coefficient of variation (CV)-0.277968929
Kurtosis4.640248258
Mean-0.8295013677
Median Absolute Deviation (MAD)0.01645622
Skewness1.76202782
Sum-6098.494056
Variance0.05316511044
MonotonicityNot monotonic
2025-03-02T10:03:46.547237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99992217 3
 
< 0.1%
-0.99971473 2
 
< 0.1%
-0.99989444 2
 
< 0.1%
-0.99998132 2
 
< 0.1%
-0.99997818 2
 
< 0.1%
-0.99999153 2
 
< 0.1%
-0.99977204 2
 
< 0.1%
-0.99994948 2
 
< 0.1%
-0.99992575 2
 
< 0.1%
-0.99983514 2
 
< 0.1%
Other values (7278) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999953 1
< 0.1%
-0.9999974 1
< 0.1%
-0.99999711 1
< 0.1%
-0.99999626 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.85782346 1
< 0.1%
0.83781669 1
< 0.1%
0.66578681 1
< 0.1%
0.66556673 1
< 0.1%

tBodyGyroMag-iqr()
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6467731293
Minimum-1
Maximum0.96899245
Zeros0
Zeros (%)0.0%
Negative6956
Negative (%)94.6%
Memory size57.6 KiB
2025-03-02T10:03:46.675252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995649998
Q1-0.9810580125
median-0.829612965
Q3-0.3489298875
95-th percentile0.0127887676
Maximum0.96899245
Range1.96899245
Interquartile range (IQR)0.632128125

Descriptive statistics

Standard deviation0.3720680299
Coefficient of variation (CV)-0.5752682248
Kurtosis-0.4103964446
Mean-0.6467731293
Median Absolute Deviation (MAD)0.166084615
Skewness0.7641412057
Sum-4755.076047
Variance0.1384346189
MonotonicityNot monotonic
2025-03-02T10:03:46.721868image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99823927 2
 
< 0.1%
-0.97270206 2
 
< 0.1%
-0.96374175 2
 
< 0.1%
-0.42956933 2
 
< 0.1%
-0.94976582 1
 
< 0.1%
-0.93887422 1
 
< 0.1%
-0.85974773 1
 
< 0.1%
-0.90629864 1
 
< 0.1%
-0.84835694 1
 
< 0.1%
-0.73545896 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99956894 1
< 0.1%
-0.99956237 1
< 0.1%
-0.99947493 1
< 0.1%
-0.99945531 1
< 0.1%
ValueCountFrequency (%)
0.96899245 1
< 0.1%
0.93042265 1
< 0.1%
0.89701494 1
< 0.1%
0.86621206 1
< 0.1%
0.85049008 1
< 0.1%

tBodyGyroMag-entropy()
Real number (ℝ)

Distinct6243
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2100530152
Minimum-1
Maximum0.99263589
Zeros0
Zeros (%)0.0%
Negative2574
Negative (%)35.0%
Memory size57.6 KiB
2025-03-02T10:03:46.767505image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.611498906
Q1-0.19164091
median0.25919062
Q30.6354714575
95-th percentile0.88995648
Maximum0.99263589
Range1.99263589
Interquartile range (IQR)0.8271123675

Descriptive statistics

Standard deviation0.4864643687
Coefficient of variation (CV)2.315912334
Kurtosis-1.045700427
Mean0.2100530152
Median Absolute Deviation (MAD)0.405437485
Skewness-0.2868931937
Sum1544.309768
Variance0.236647582
MonotonicityNot monotonic
2025-03-02T10:03:46.814619image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.96489935 8
 
0.1%
0.93852253 8
 
0.1%
0.91423951 7
 
0.1%
0.91497359 7
 
0.1%
0.36474035 6
 
0.1%
0.87467427 6
 
0.1%
0.92533412 6
 
0.1%
0.90314489 6
 
0.1%
0.92397441 6
 
0.1%
0.25334958 6
 
0.1%
Other values (6233) 7286
99.1%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.93238606 1
< 0.1%
-0.91502316 1
< 0.1%
-0.91139062 1
< 0.1%
-0.90959395 1
< 0.1%
ValueCountFrequency (%)
0.99263589 1
< 0.1%
0.98681159 1
< 0.1%
0.98471779 1
< 0.1%
0.98018156 1
< 0.1%
0.97735368 1
< 0.1%

tBodyGyroMag-arCoeff()1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.02999301595
Minimum-1
Maximum0.99352363
Zeros0
Zeros (%)0.0%
Negative4018
Negative (%)54.7%
Memory size57.6 KiB
2025-03-02T10:03:46.861021image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5253058295
Q1-0.2403244425
median-0.0359516825
Q30.177668585
95-th percentile0.48198018
Maximum0.99352363
Range1.99352363
Interquartile range (IQR)0.4179930275

Descriptive statistics

Standard deviation0.3045423503
Coefficient of variation (CV)-10.15377549
Kurtosis-0.2535158549
Mean-0.02999301595
Median Absolute Deviation (MAD)0.2089452175
Skewness0.07705393988
Sum-220.5086532
Variance0.09274604311
MonotonicityNot monotonic
2025-03-02T10:03:46.907533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.57251142 1
 
< 0.1%
-0.43723904 1
 
< 0.1%
-0.44841036 1
 
< 0.1%
-0.59431726 1
 
< 0.1%
-0.59952971 1
 
< 0.1%
-0.50014611 1
 
< 0.1%
-0.46674984 1
 
< 0.1%
-0.089128808 1
 
< 0.1%
-0.00046026059 1
 
< 0.1%
-0.17200111 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.93327199 1
< 0.1%
-0.89391255 1
< 0.1%
-0.88122575 1
< 0.1%
-0.88015877 1
< 0.1%
ValueCountFrequency (%)
0.99352363 1
< 0.1%
0.97473362 1
< 0.1%
0.96771897 1
< 0.1%
0.94481272 1
< 0.1%
0.91687318 1
< 0.1%

tBodyGyroMag-arCoeff()2
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06662373535
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4470
Negative (%)60.8%
Memory size57.6 KiB
2025-03-02T10:03:46.953191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5003963195
Q1-0.2553299475
median-0.075826141
Q30.1109393575
95-th percentile0.401085247
Maximum1
Range2
Interquartile range (IQR)0.366269305

Descriptive statistics

Standard deviation0.2730140716
Coefficient of variation (CV)-4.097849966
Kurtosis0.04443236323
Mean-0.06662373535
Median Absolute Deviation (MAD)0.18371065
Skewness0.2025039131
Sum-489.8177023
Variance0.07453668332
MonotonicityNot monotonic
2025-03-02T10:03:47.000168image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.01878951 2
 
< 0.1%
-0.73860219 1
 
< 0.1%
-0.012147131 1
 
< 0.1%
0.36610864 1
 
< 0.1%
0.62444706 1
 
< 0.1%
0.53326527 1
 
< 0.1%
0.12931445 1
 
< 0.1%
0.14271423 1
 
< 0.1%
-0.086143398 1
 
< 0.1%
-0.15325387 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.94400502 1
< 0.1%
-0.879145 1
< 0.1%
-0.8756139 1
< 0.1%
-0.87248846 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94689623 1
< 0.1%
0.90589204 1
< 0.1%
0.84116054 1
< 0.1%
0.83123021 1
< 0.1%

tBodyGyroMag-arCoeff()3
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1115426317
Minimum-0.89991431
Maximum0.99462757
Zeros0
Zeros (%)0.0%
Negative2352
Negative (%)32.0%
Memory size57.6 KiB
2025-03-02T10:03:47.045393image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.89991431
5-th percentile-0.3035654925
Q1-0.051423858
median0.115127825
Q30.27841437
95-th percentile0.5158457545
Maximum0.99462757
Range1.89454188
Interquartile range (IQR)0.329838228

Descriptive statistics

Standard deviation0.2501268278
Coefficient of variation (CV)2.242432548
Kurtosis0.2940972002
Mean0.1115426317
Median Absolute Deviation (MAD)0.165056455
Skewness-0.1426089663
Sum820.0614282
Variance0.06256342996
MonotonicityNot monotonic
2025-03-02T10:03:47.089380image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.20958081 2
 
< 0.1%
0.21257776 1
 
< 0.1%
0.0581293 1
 
< 0.1%
-0.27443689 1
 
< 0.1%
-0.46415819 1
 
< 0.1%
-0.25810519 1
 
< 0.1%
0.33941199 1
 
< 0.1%
0.16093643 1
 
< 0.1%
0.13633374 1
 
< 0.1%
0.2150386 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.89991431 1
< 0.1%
-0.81655162 1
< 0.1%
-0.81608872 1
< 0.1%
-0.79055782 1
< 0.1%
-0.78740198 1
< 0.1%
ValueCountFrequency (%)
0.99462757 1
< 0.1%
0.94999718 1
< 0.1%
0.91664762 1
< 0.1%
0.90646838 1
< 0.1%
0.89917008 1
< 0.1%

tBodyGyroMag-arCoeff()4
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05871071043
Minimum-0.99742291
Maximum1
Zeros0
Zeros (%)0.0%
Negative4416
Negative (%)60.1%
Memory size57.6 KiB
2025-03-02T10:03:47.134361image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99742291
5-th percentile-0.4634175275
Q1-0.21942642
median-0.06100425
Q30.104245
95-th percentile0.338482634
Maximum1
Range1.99742291
Interquartile range (IQR)0.32367142

Descriptive statistics

Standard deviation0.2456209057
Coefficient of variation (CV)-4.183579178
Kurtosis0.1826746696
Mean-0.05871071043
Median Absolute Deviation (MAD)0.16197817
Skewness0.007881876006
Sum-431.6411431
Variance0.06032962929
MonotonicityNot monotonic
2025-03-02T10:03:47.181328image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2010921 2
 
< 0.1%
0.43340495 1
 
< 0.1%
0.27834959 1
 
< 0.1%
0.23199081 1
 
< 0.1%
0.16783636 1
 
< 0.1%
0.048197566 1
 
< 0.1%
-0.13745116 1
 
< 0.1%
0.086380878 1
 
< 0.1%
0.07153839 1
 
< 0.1%
-0.053487499 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.99742291 1
< 0.1%
-0.89053391 1
< 0.1%
-0.8607347 1
< 0.1%
-0.84415387 1
< 0.1%
-0.84027629 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.84991442 1
< 0.1%
0.76914668 1
< 0.1%
0.76246809 1
< 0.1%
0.76245266 1
< 0.1%

tBodyGyroJerkMag-mean()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7603187707
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7244
Negative (%)98.5%
Memory size57.6 KiB
2025-03-02T10:03:47.228252image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997816065
Q1-0.9933799425
median-0.960903175
Q3-0.54363618
95-th percentile-0.2423204185
Maximum1
Range2
Interquartile range (IQR)0.4497437625

Descriptive statistics

Standard deviation0.285028225
Coefficient of variation (CV)-0.3748799003
Kurtosis0.660895172
Mean-0.7603187707
Median Absolute Deviation (MAD)0.03723943
Skewness1.055953959
Sum-5589.863602
Variance0.08124108903
MonotonicityNot monotonic
2025-03-02T10:03:47.274705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99623499 2
 
< 0.1%
-0.97075365 2
 
< 0.1%
-0.99424782 1
 
< 0.1%
-0.95524903 1
 
< 0.1%
-0.95247939 1
 
< 0.1%
-0.95320805 1
 
< 0.1%
-0.95433102 1
 
< 0.1%
-0.96704346 1
 
< 0.1%
-0.98362332 1
 
< 0.1%
-0.988903 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99989014 1
< 0.1%
-0.99979911 1
< 0.1%
-0.99971555 1
< 0.1%
-0.99970396 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8926458 1
< 0.1%
0.58596362 1
< 0.1%
0.48876883 1
< 0.1%
0.48653077 1
< 0.1%

tBodyGyroJerkMag-std()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7778145639
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7181
Negative (%)97.7%
Memory size57.6 KiB
2025-03-02T10:03:47.320117image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.998327081
Q1-0.993274705
median-0.947573415
Q3-0.6089994075
95-th percentile-0.2547832805
Maximum1
Range2
Interquartile range (IQR)0.3842752975

Descriptive statistics

Standard deviation0.2791303896
Coefficient of variation (CV)-0.3588649564
Kurtosis3.034446272
Mean-0.7778145639
Median Absolute Deviation (MAD)0.05106016
Skewness1.572569048
Sum-5718.492674
Variance0.0779137744
MonotonicityNot monotonic
2025-03-02T10:03:47.368155image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99136761 1
 
< 0.1%
-0.97233403 1
 
< 0.1%
-0.94018934 1
 
< 0.1%
-0.91638671 1
 
< 0.1%
-0.92289273 1
 
< 0.1%
-0.96004641 1
 
< 0.1%
-0.96642014 1
 
< 0.1%
-0.9849206 1
 
< 0.1%
-0.99191656 1
 
< 0.1%
-0.98683365 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998334 1
< 0.1%
-0.99985265 1
< 0.1%
-0.99983194 1
< 0.1%
-0.99981537 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.88270995 1
< 0.1%
0.8571193 1
< 0.1%
0.78581216 1
< 0.1%
0.70685763 1
< 0.1%

tBodyGyroJerkMag-mad()
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.79204872
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7253
Negative (%)98.7%
Memory size57.6 KiB
2025-03-02T10:03:47.413687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9983533655
Q1-0.993862885
median-0.95496811
Q3-0.6267795425
95-th percentile-0.3097098225
Maximum1
Range2
Interquartile range (IQR)0.3670833425

Descriptive statistics

Standard deviation0.2580818368
Coefficient of variation (CV)-0.3258408608
Kurtosis2.612740291
Mean-0.79204872
Median Absolute Deviation (MAD)0.043700895
Skewness1.467351127
Sum-5823.142189
Variance0.06660623446
MonotonicityNot monotonic
2025-03-02T10:03:47.460594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99788015 2
 
< 0.1%
-0.99853387 2
 
< 0.1%
-0.99736653 2
 
< 0.1%
-0.97936376 1
 
< 0.1%
-0.98715248 1
 
< 0.1%
-0.9514072 1
 
< 0.1%
-0.93934055 1
 
< 0.1%
-0.94063479 1
 
< 0.1%
-0.9580315 1
 
< 0.1%
-0.96732837 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99987089 1
< 0.1%
-0.9998217 1
< 0.1%
-0.99975825 1
< 0.1%
-0.99974362 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86571342 1
< 0.1%
0.59641504 1
< 0.1%
0.593425 1
< 0.1%
0.58106652 1
< 0.1%

tBodyGyroJerkMag-max()
Real number (ℝ)

Distinct5367
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7847936218
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7191
Negative (%)97.8%
Memory size57.6 KiB
2025-03-02T10:03:47.506654image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.998220696
Q1-0.99280811
median-0.948626005
Q3-0.6329588025
95-th percentile-0.2542029
Maximum1
Range2
Interquartile range (IQR)0.3598493075

Descriptive statistics

Standard deviation0.2748128963
Coefficient of variation (CV)-0.3501721838
Kurtosis3.586762867
Mean-0.7847936218
Median Absolute Deviation (MAD)0.04996769
Skewness1.690965233
Sum-5769.802707
Variance0.075522128
MonotonicityNot monotonic
2025-03-02T10:03:47.556861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9957536 4
 
0.1%
-0.99513708 3
 
< 0.1%
-0.98444675 2
 
< 0.1%
-0.66262006 2
 
< 0.1%
-0.80930066 2
 
< 0.1%
-0.70201021 2
 
< 0.1%
-0.55549363 2
 
< 0.1%
-0.71236942 2
 
< 0.1%
-0.99819621 2
 
< 0.1%
-0.73227461 2
 
< 0.1%
Other values (5357) 7329
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99993732 1
< 0.1%
-0.99984438 1
< 0.1%
-0.99977979 1
< 0.1%
-0.99975068 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99088597 2
< 0.1%
0.79837031 1
< 0.1%
0.71204309 1
< 0.1%
0.5989451 2
< 0.1%

tBodyGyroJerkMag-min()
Real number (ℝ)

Distinct5163
Distinct (%)70.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8022880261
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7283
Negative (%)99.1%
Memory size57.6 KiB
2025-03-02T10:03:47.602592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99536255
Q1-0.9905402625
median-0.97395912
Q3-0.63826252
95-th percentile-0.307144422
Maximum1
Range2
Interquartile range (IQR)0.3522777425

Descriptive statistics

Standard deviation0.2530145053
Coefficient of variation (CV)-0.3153661741
Kurtosis2.075779303
Mean-0.8022880261
Median Absolute Deviation (MAD)0.021831575
Skewness1.419855019
Sum-5898.421568
Variance0.0640163399
MonotonicityNot monotonic
2025-03-02T10:03:47.648297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98864441 4
 
0.1%
-0.98720171 2
 
< 0.1%
0.14126403 2
 
< 0.1%
-0.99364224 2
 
< 0.1%
-0.66239672 2
 
< 0.1%
-0.4555205 2
 
< 0.1%
-0.18740898 2
 
< 0.1%
-0.3328167 2
 
< 0.1%
-0.34662653 2
 
< 0.1%
0.11567407 2
 
< 0.1%
Other values (5153) 7330
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.99889684 2
< 0.1%
-0.99883241 2
< 0.1%
-0.99878444 1
< 0.1%
-0.99874343 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.80365169 1
< 0.1%
0.54384294 1
< 0.1%
0.52618992 1
< 0.1%
0.49099728 1
< 0.1%

tBodyGyroJerkMag-sma()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7603187707
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7244
Negative (%)98.5%
Memory size57.6 KiB
2025-03-02T10:03:47.694369image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997816065
Q1-0.9933799425
median-0.960903175
Q3-0.54363618
95-th percentile-0.2423204185
Maximum1
Range2
Interquartile range (IQR)0.4497437625

Descriptive statistics

Standard deviation0.285028225
Coefficient of variation (CV)-0.3748799003
Kurtosis0.660895172
Mean-0.7603187707
Median Absolute Deviation (MAD)0.03723943
Skewness1.055953959
Sum-5589.863602
Variance0.08124108903
MonotonicityNot monotonic
2025-03-02T10:03:47.741576image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99623499 2
 
< 0.1%
-0.97075365 2
 
< 0.1%
-0.99424782 1
 
< 0.1%
-0.95524903 1
 
< 0.1%
-0.95247939 1
 
< 0.1%
-0.95320805 1
 
< 0.1%
-0.95433102 1
 
< 0.1%
-0.96704346 1
 
< 0.1%
-0.98362332 1
 
< 0.1%
-0.988903 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99989014 1
< 0.1%
-0.99979911 1
< 0.1%
-0.99971555 1
< 0.1%
-0.99970396 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8926458 1
< 0.1%
0.58596362 1
< 0.1%
0.48876883 1
< 0.1%
0.48653077 1
< 0.1%

tBodyGyroJerkMag-energy()
Real number (ℝ)

Distinct6966
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9292224502
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7340
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:47.872413image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999989168
Q1-0.9999481525
median-0.99885608
Q3-0.898508335
95-th percentile-0.7011742955
Maximum1
Range2
Interquartile range (IQR)0.1014398175

Descriptive statistics

Standard deviation0.1305941172
Coefficient of variation (CV)-0.140541285
Kurtosis26.32565622
Mean-0.9292224502
Median Absolute Deviation (MAD)0.001136885
Skewness3.946581712
Sum-6831.643454
Variance0.01705482345
MonotonicityNot monotonic
2025-03-02T10:03:47.918272image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999201 4
 
0.1%
-0.99998758 4
 
0.1%
-0.99997857 4
 
0.1%
-0.99999399 4
 
0.1%
-0.99998628 4
 
0.1%
-0.99998827 4
 
0.1%
-0.99999286 3
 
< 0.1%
-0.99998691 3
 
< 0.1%
-0.99998775 3
 
< 0.1%
-0.99999048 3
 
< 0.1%
Other values (6956) 7316
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999963 1
< 0.1%
-0.99999921 1
< 0.1%
-0.99999895 1
< 0.1%
-0.99999873 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93060637 1
< 0.1%
0.30383144 1
< 0.1%
0.23570659 1
< 0.1%
0.18760035 1
< 0.1%

tBodyGyroJerkMag-iqr()
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8051817674
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7303
Negative (%)99.3%
Memory size57.6 KiB
2025-03-02T10:03:47.964310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9983082235
Q1-0.9944938025
median-0.96281247
Q3-0.6405618725
95-th percentile-0.347055861
Maximum1
Range2
Interquartile range (IQR)0.35393193

Descriptive statistics

Standard deviation0.2388841973
Coefficient of variation (CV)-0.2966835651
Kurtosis2.104455641
Mean-0.8051817674
Median Absolute Deviation (MAD)0.035761735
Skewness1.323268291
Sum-5919.696354
Variance0.05706565972
MonotonicityNot monotonic
2025-03-02T10:03:48.011364image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99724937 2
 
< 0.1%
-0.978702 2
 
< 0.1%
-0.99577248 2
 
< 0.1%
-0.99389817 2
 
< 0.1%
-0.99454718 1
 
< 0.1%
-0.9859046 1
 
< 0.1%
-0.96235134 1
 
< 0.1%
-0.96675327 1
 
< 0.1%
-0.96243871 1
 
< 0.1%
-0.950816 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99989638 1
< 0.1%
-0.99989211 1
< 0.1%
-0.99983377 1
< 0.1%
-0.99983306 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9943606 1
< 0.1%
0.64122982 1
< 0.1%
0.57215042 1
< 0.1%
0.52712792 1
< 0.1%
Distinct5465
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1104081248
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3620
Negative (%)49.2%
Memory size57.6 KiB
2025-03-02T10:03:48.056695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8572335835
Q1-0.6082172025
median0.0358075535
Q30.8435272875
95-th percentile0.92061102
Maximum1
Range2
Interquartile range (IQR)1.45174449

Descriptive statistics

Standard deviation0.7036763368
Coefficient of variation (CV)6.373410818
Kurtosis-1.72749121
Mean0.1104081248
Median Absolute Deviation (MAD)0.755757915
Skewness-0.08126762766
Sum811.7205333
Variance0.495160387
MonotonicityNot monotonic
2025-03-02T10:03:48.102310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.90227416 19
 
0.3%
0.91651258 18
 
0.2%
0.90022493 17
 
0.2%
0.91518181 16
 
0.2%
0.92942022 16
 
0.2%
0.92399101 16
 
0.2%
0.9185618 15
 
0.2%
0.92061102 15
 
0.2%
0.87307887 15
 
0.2%
0.90770337 15
 
0.2%
Other values (5455) 7190
97.8%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.9928415 1
< 0.1%
-0.98999626 1
< 0.1%
-0.98590575 1
< 0.1%
-0.98584274 1
< 0.1%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.99866923 1
 
< 0.1%
0.99324002 2
< 0.1%
0.99190925 1
 
< 0.1%
0.98986003 3
< 0.1%

tBodyGyroJerkMag-arCoeff()1
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.279667555
Minimum-1
Maximum0.99282314
Zeros0
Zeros (%)0.0%
Negative896
Negative (%)12.2%
Memory size57.6 KiB
2025-03-02T10:03:48.148491image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.146282586
Q10.1304839425
median0.29469627
Q30.449310955
95-th percentile0.648767516
Maximum0.99282314
Range1.99282314
Interquartile range (IQR)0.3188270125

Descriptive statistics

Standard deviation0.2427514983
Coefficient of variation (CV)0.8680002164
Kurtosis0.4924525719
Mean0.279667555
Median Absolute Deviation (MAD)0.15862843
Skewness-0.4368496138
Sum2056.115865
Variance0.05892828992
MonotonicityNot monotonic
2025-03-02T10:03:48.195011image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29284049 1
 
< 0.1%
-0.028417756 1
 
< 0.1%
0.035879209 1
 
< 0.1%
0.34044679 1
 
< 0.1%
0.20248942 1
 
< 0.1%
-0.18411211 1
 
< 0.1%
0.10536894 1
 
< 0.1%
0.29675676 1
 
< 0.1%
0.45174848 1
 
< 0.1%
0.57260773 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.91866023 1
< 0.1%
-0.8324771 1
< 0.1%
-0.74577641 1
< 0.1%
-0.73893781 1
< 0.1%
ValueCountFrequency (%)
0.99282314 1
< 0.1%
0.97086476 1
< 0.1%
0.9345143 1
< 0.1%
0.92467379 1
< 0.1%
0.91993142 1
< 0.1%
Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2223749506
Minimum-0.99766425
Maximum1
Zeros0
Zeros (%)0.0%
Negative6330
Negative (%)86.1%
Memory size57.6 KiB
2025-03-02T10:03:48.241145image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99766425
5-th percentile-0.5468766435
Q1-0.368562205
median-0.230445395
Q3-0.09320115875
95-th percentile0.1393275445
Maximum1
Range1.99766425
Interquartile range (IQR)0.2753610463

Descriptive statistics

Standard deviation0.2109361128
Coefficient of variation (CV)-0.9485605831
Kurtosis0.57141078
Mean-0.2223749506
Median Absolute Deviation (MAD)0.13772213
Skewness0.3579331765
Sum-1634.900637
Variance0.04449404368
MonotonicityNot monotonic
2025-03-02T10:03:48.287533image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.13289819 2
 
< 0.1%
-0.1768892 1
 
< 0.1%
0.46837202 1
 
< 0.1%
-0.06738043 1
 
< 0.1%
0.016856929 1
 
< 0.1%
0.082260902 1
 
< 0.1%
-0.083963612 1
 
< 0.1%
-0.27545639 1
 
< 0.1%
-0.15947554 1
 
< 0.1%
-0.29462771 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.99766425 1
< 0.1%
-0.87819205 1
< 0.1%
-0.87702506 1
< 0.1%
-0.86583023 1
< 0.1%
-0.85818576 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92181578 1
< 0.1%
0.77019832 1
< 0.1%
0.71213921 1
< 0.1%
0.69603137 1
< 0.1%

tBodyGyroJerkMag-arCoeff()3
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04859245665
Minimum-1
Maximum0.88033546
Zeros0
Zeros (%)0.0%
Negative4320
Negative (%)58.8%
Memory size57.6 KiB
2025-03-02T10:03:48.333114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.418379226
Q1-0.1913117575
median-0.0474467865
Q30.09619526375
95-th percentile0.31616453
Maximum0.88033546
Range1.88033546
Interquartile range (IQR)0.2875070212

Descriptive statistics

Standard deviation0.2257549577
Coefficient of variation (CV)-4.645884841
Kurtosis0.5476219548
Mean-0.04859245665
Median Absolute Deviation (MAD)0.1438195135
Skewness-0.02321860029
Sum-357.2517413
Variance0.05096530094
MonotonicityNot monotonic
2025-03-02T10:03:48.378014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.14577921 1
 
< 0.1%
-0.25673819 1
 
< 0.1%
-0.17162778 1
 
< 0.1%
-0.37796757 1
 
< 0.1%
-0.42036494 1
 
< 0.1%
-0.3897609 1
 
< 0.1%
-0.30976274 1
 
< 0.1%
0.10505579 1
 
< 0.1%
-0.26064185 1
 
< 0.1%
0.093137582 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.88507433 1
< 0.1%
-0.88235754 1
< 0.1%
-0.85943701 1
< 0.1%
-0.85242917 1
< 0.1%
ValueCountFrequency (%)
0.88033546 1
< 0.1%
0.86475315 1
< 0.1%
0.83551594 1
< 0.1%
0.81320515 1
< 0.1%
0.80048719 1
< 0.1%

tBodyGyroJerkMag-arCoeff()4
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1164881604
Minimum-1
Maximum0.83672766
Zeros0
Zeros (%)0.0%
Negative5157
Negative (%)70.1%
Memory size57.6 KiB
2025-03-02T10:03:48.421704image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.495240638
Q1-0.2850363125
median-0.128805665
Q30.04101671875
95-th percentile0.308895453
Maximum0.83672766
Range1.83672766
Interquartile range (IQR)0.3260530313

Descriptive statistics

Standard deviation0.2451298678
Coefficient of variation (CV)-2.104332895
Kurtosis0.130044018
Mean-0.1164881604
Median Absolute Deviation (MAD)0.16264067
Skewness0.2667371436
Sum-856.4209554
Variance0.06008865209
MonotonicityNot monotonic
2025-03-02T10:03:48.466260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.12407233 1
 
< 0.1%
-0.072906227 1
 
< 0.1%
0.084590631 1
 
< 0.1%
-0.01116127 1
 
< 0.1%
0.055482649 1
 
< 0.1%
0.33972049 1
 
< 0.1%
0.15913242 1
 
< 0.1%
-0.20316462 1
 
< 0.1%
-0.23177926 1
 
< 0.1%
-0.53846463 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.95723203 1
< 0.1%
-0.93717726 1
< 0.1%
-0.92222416 1
< 0.1%
-0.89419283 1
< 0.1%
ValueCountFrequency (%)
0.83672766 1
< 0.1%
0.81606465 1
< 0.1%
0.76522766 1
< 0.1%
0.76366485 1
< 0.1%
0.74889677 1
< 0.1%

fBodyAcc-mean()-X
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6225910942
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6612
Negative (%)89.9%
Memory size57.6 KiB
2025-03-02T10:03:48.512813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9969409975
Q1-0.99170368
median-0.949949135
Q3-0.2545135925
95-th percentile0.140501592
Maximum1
Range2
Interquartile range (IQR)0.7371900875

Descriptive statistics

Standard deviation0.4282112829
Coefficient of variation (CV)-0.6877889627
Kurtosis-0.9323307574
Mean-0.6225910942
Median Absolute Deviation (MAD)0.04745828
Skewness0.6557656436
Sum-4577.289725
Variance0.1833649028
MonotonicityNot monotonic
2025-03-02T10:03:48.563564image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99522435 2
 
< 0.1%
-0.99527834 2
 
< 0.1%
-0.99149537 1
 
< 0.1%
-0.97137886 1
 
< 0.1%
-0.96934027 1
 
< 0.1%
-0.97306637 1
 
< 0.1%
-0.98113563 1
 
< 0.1%
-0.98637659 1
 
< 0.1%
-0.99199226 1
 
< 0.1%
-0.99003523 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99997329 1
< 0.1%
-0.99996593 1
< 0.1%
-0.99981033 1
< 0.1%
-0.99967316 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86172854 1
< 0.1%
0.80940575 1
< 0.1%
0.79759557 1
< 0.1%
0.79001809 1
< 0.1%

fBodyAcc-mean()-Y
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5390119873
Minimum-1
Maximum0.97184989
Zeros0
Zeros (%)0.0%
Negative6010
Negative (%)81.7%
Memory size57.6 KiB
2025-03-02T10:03:48.609521image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9917805105
Q1-0.9803575825
median-0.87699733
Q3-0.0891616865
95-th percentile0.246958603
Maximum0.97184989
Range1.97184989
Interquartile range (IQR)0.891195896

Descriptive statistics

Standard deviation0.4837207299
Coefficient of variation (CV)-0.8974210986
Kurtosis-1.329861031
Mean-0.5390119873
Median Absolute Deviation (MAD)0.11569006
Skewness0.4735229455
Sum-3962.816131
Variance0.2339857445
MonotonicityNot monotonic
2025-03-02T10:03:48.658785image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96335193 2
 
< 0.1%
-0.9920205 2
 
< 0.1%
-0.9829841 1
 
< 0.1%
-0.88794033 1
 
< 0.1%
-0.93841993 1
 
< 0.1%
-0.93546263 1
 
< 0.1%
-0.91191629 1
 
< 0.1%
-0.91047254 1
 
< 0.1%
-0.92676929 1
 
< 0.1%
-0.96366985 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99811908 1
< 0.1%
-0.99699759 1
< 0.1%
-0.99682597 1
< 0.1%
-0.99678026 1
< 0.1%
ValueCountFrequency (%)
0.97184989 1
< 0.1%
0.90805576 1
< 0.1%
0.83259353 1
< 0.1%
0.82306174 1
< 0.1%
0.80706306 1
< 0.1%

fBodyAcc-mean()-Z
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6604374981
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6966
Negative (%)94.7%
Memory size57.6 KiB
2025-03-02T10:03:48.705667image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.992749471
Q1-0.98383805
median-0.90012448
Q3-0.3560868775
95-th percentile0.0116537802
Maximum1
Range2
Interquartile range (IQR)0.6277511725

Descriptive statistics

Standard deviation0.3700854597
Coefficient of variation (CV)-0.5603640931
Kurtosis-0.3671206301
Mean-0.6604374981
Median Absolute Deviation (MAD)0.093588415
Skewness0.7845347851
Sum-4855.536486
Variance0.1369632475
MonotonicityNot monotonic
2025-03-02T10:03:48.752819image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98845915 2
 
< 0.1%
-0.93926865 1
 
< 0.1%
-0.73627 1
 
< 0.1%
-0.89995506 1
 
< 0.1%
-0.90182846 1
 
< 0.1%
-0.91655246 1
 
< 0.1%
-0.94892716 1
 
< 0.1%
-0.96047541 1
 
< 0.1%
-0.97674925 1
 
< 0.1%
-0.96983072 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9998105 1
< 0.1%
-0.99966797 1
< 0.1%
-0.99932607 1
< 0.1%
-0.99905219 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8072208 1
< 0.1%
0.80592986 1
< 0.1%
0.72338591 1
< 0.1%
0.70301282 1
< 0.1%

fBodyAcc-std()-X
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6002006791
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6441
Negative (%)87.6%
Memory size57.6 KiB
2025-03-02T10:03:48.798979image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997869103
Q1-0.99324352
median-0.943474805
Q3-0.24092254
95-th percentile0.240139856
Maximum1
Range2
Interquartile range (IQR)0.75232098

Descriptive statistics

Standard deviation0.4577894094
Coefficient of variation (CV)-0.7627272433
Kurtosis-0.7504106952
Mean-0.6002006791
Median Absolute Deviation (MAD)0.054752905
Skewness0.7167564808
Sum-4412.675393
Variance0.2095711434
MonotonicityNot monotonic
2025-03-02T10:03:48.846432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99502621 3
 
< 0.1%
-0.99877952 2
 
< 0.1%
-0.99822771 2
 
< 0.1%
-0.9962107 2
 
< 0.1%
-0.99542175 1
 
< 0.1%
-0.98927895 1
 
< 0.1%
-0.96858739 1
 
< 0.1%
-0.96468825 1
 
< 0.1%
-0.97747562 1
 
< 0.1%
-0.98409539 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99986909 1
< 0.1%
-0.99984636 1
< 0.1%
-0.99981842 1
< 0.1%
-0.99978723 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98388435 1
< 0.1%
0.93425441 1
< 0.1%
0.90784843 1
< 0.1%
0.90208302 1
< 0.1%

fBodyAcc-std()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5286574173
Minimum-0.9998571
Maximum0.86033908
Zeros0
Zeros (%)0.0%
Negative5982
Negative (%)81.4%
Memory size57.6 KiB
2025-03-02T10:03:48.890834image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9998571
5-th percentile-0.9941708085
Q1-0.97791452
median-0.85000314
Q3-0.070096623
95-th percentile0.2382358615
Maximum0.86033908
Range1.86019618
Interquartile range (IQR)0.907817897

Descriptive statistics

Standard deviation0.4822755197
Coefficient of variation (CV)-0.912264737
Kurtosis-1.439152175
Mean-0.5286574173
Median Absolute Deviation (MAD)0.14531442
Skewness0.4079594148
Sum-3886.689332
Variance0.2325896769
MonotonicityNot monotonic
2025-03-02T10:03:48.935981image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98313297 1
 
< 0.1%
-0.92866777 1
 
< 0.1%
-0.89831197 1
 
< 0.1%
-0.92863847 1
 
< 0.1%
-0.88706188 1
 
< 0.1%
-0.86712635 1
 
< 0.1%
-0.91651276 1
 
< 0.1%
-0.96908961 1
 
< 0.1%
-0.97359326 1
 
< 0.1%
-0.98505581 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.9998571 1
< 0.1%
-0.99919054 1
< 0.1%
-0.9988007 1
< 0.1%
-0.99867854 1
< 0.1%
-0.99860372 1
< 0.1%
ValueCountFrequency (%)
0.86033908 1
< 0.1%
0.79852269 1
< 0.1%
0.76609674 1
< 0.1%
0.72297942 1
< 0.1%
0.72024361 1
< 0.1%

fBodyAcc-std()-Z
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6085646341
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6664
Negative (%)90.6%
Memory size57.6 KiB
2025-03-02T10:03:48.985447image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9933930745
Q1-0.9792139875
median-0.8491397
Q3-0.2859697675
95-th percentile0.1271411305
Maximum1
Range2
Interquartile range (IQR)0.69324422

Descriptive statistics

Standard deviation0.4149997607
Coefficient of variation (CV)-0.6819321029
Kurtosis-0.4409439326
Mean-0.6085646341
Median Absolute Deviation (MAD)0.145475915
Skewness0.7423044034
Sum-4474.16719
Variance0.1722248014
MonotonicityNot monotonic
2025-03-02T10:03:49.032761image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98781473 2
 
< 0.1%
-0.90616498 1
 
< 0.1%
-0.97951411 1
 
< 0.1%
-0.81979367 1
 
< 0.1%
-0.88605254 1
 
< 0.1%
-0.91382753 1
 
< 0.1%
-0.93597663 1
 
< 0.1%
-0.95745788 1
 
< 0.1%
-0.97549901 1
 
< 0.1%
-0.95743647 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99983425 1
< 0.1%
-0.99979133 1
< 0.1%
-0.9993916 1
< 0.1%
-0.99933508 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95432142 1
< 0.1%
0.91621088 1
< 0.1%
0.90422088 1
< 0.1%
0.87782622 1
< 0.1%

fBodyAcc-mad()-X
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5902468541
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6369
Negative (%)86.6%
Memory size57.6 KiB
2025-03-02T10:03:49.166187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997160689
Q1-0.9921471775
median-0.949085375
Q3-0.1937753125
95-th percentile0.2409408815
Maximum1
Range2
Interquartile range (IQR)0.798371865

Descriptive statistics

Standard deviation0.4654708554
Coefficient of variation (CV)-0.788603704
Kurtosis-0.9653313354
Mean-0.5902468541
Median Absolute Deviation (MAD)0.04860722
Skewness0.6459128494
Sum-4339.494871
Variance0.2166631173
MonotonicityNot monotonic
2025-03-02T10:03:49.212674image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99801666 2
 
< 0.1%
-0.99429927 2
 
< 0.1%
-0.99688864 1
 
< 0.1%
-0.96251531 1
 
< 0.1%
-0.97018826 1
 
< 0.1%
-0.97396077 1
 
< 0.1%
-0.98113401 1
 
< 0.1%
-0.98084405 1
 
< 0.1%
-0.98664199 1
 
< 0.1%
-0.99166698 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998078 1
< 0.1%
-0.99993824 1
< 0.1%
-0.99977947 1
< 0.1%
-0.99973782 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99982956 1
< 0.1%
0.92444441 1
< 0.1%
0.91564944 1
< 0.1%
0.87552047 1
< 0.1%

fBodyAcc-mad()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5227601749
Minimum-0.99997862
Maximum0.96120357
Zeros0
Zeros (%)0.0%
Negative5847
Negative (%)79.5%
Memory size57.6 KiB
2025-03-02T10:03:49.257333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99997862
5-th percentile-0.9935930105
Q1-0.98115193
median-0.87199476
Q3-0.05859431425
95-th percentile0.28102738
Maximum0.96120357
Range1.96118219
Interquartile range (IQR)0.9225576157

Descriptive statistics

Standard deviation0.4991659131
Coefficient of variation (CV)-0.9548659922
Kurtosis-1.371043078
Mean-0.5227601749
Median Absolute Deviation (MAD)0.122637135
Skewness0.4487581907
Sum-3843.332806
Variance0.2491666088
MonotonicityNot monotonic
2025-03-02T10:03:49.304152image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98451927 1
 
< 0.1%
-0.93677488 1
 
< 0.1%
-0.92118619 1
 
< 0.1%
-0.93500675 1
 
< 0.1%
-0.88917449 1
 
< 0.1%
-0.88036483 1
 
< 0.1%
-0.91678785 1
 
< 0.1%
-0.96345753 1
 
< 0.1%
-0.97673544 1
 
< 0.1%
-0.98321419 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.99997862 1
< 0.1%
-0.99987364 1
< 0.1%
-0.99837538 1
< 0.1%
-0.99808678 1
< 0.1%
-0.99806694 1
< 0.1%
ValueCountFrequency (%)
0.96120357 1
< 0.1%
0.95956551 1
< 0.1%
0.86827508 1
< 0.1%
0.85776226 1
< 0.1%
0.84480916 1
< 0.1%

fBodyAcc-mad()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6266374853
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6841
Negative (%)93.0%
Memory size57.6 KiB
2025-03-02T10:03:49.350030image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9922408135
Q1-0.98173612
median-0.88452211
Q3-0.298504485
95-th percentile0.08644426235
Maximum1
Range2
Interquartile range (IQR)0.683231635

Descriptive statistics

Standard deviation0.4016113027
Coefficient of variation (CV)-0.6408989442
Kurtosis-0.4834103081
Mean-0.6266374853
Median Absolute Deviation (MAD)0.108810845
Skewness0.7375630628
Sum-4607.038792
Variance0.1612916385
MonotonicityNot monotonic
2025-03-02T10:03:49.398188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.932082 1
 
< 0.1%
-0.93295172 1
 
< 0.1%
-0.86736599 1
 
< 0.1%
-0.88342271 1
 
< 0.1%
-0.90357144 1
 
< 0.1%
-0.94208802 1
 
< 0.1%
-0.95297388 1
 
< 0.1%
-0.97236387 1
 
< 0.1%
-0.96827861 1
 
< 0.1%
-0.98279217 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99914832 1
< 0.1%
-0.99860492 1
< 0.1%
-0.99846392 1
< 0.1%
-0.99821376 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93774304 1
< 0.1%
0.90537069 1
< 0.1%
0.83360183 1
< 0.1%
0.81887893 1
< 0.1%

fBodyAcc-max()-X
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6473101902
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6751
Negative (%)91.8%
Memory size57.6 KiB
2025-03-02T10:03:49.448037image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9985121685
Q1-0.994527245
median-0.945497995
Q3-0.3409503625
95-th percentile0.129251865
Maximum1
Range2
Interquartile range (IQR)0.6535768825

Descriptive statistics

Standard deviation0.4168838934
Coefficient of variation (CV)-0.64402492
Kurtosis-0.1531816607
Mean-0.6473101902
Median Absolute Deviation (MAD)0.053261085
Skewness0.9108762725
Sum-4759.024518
Variance0.1737921806
MonotonicityNot monotonic
2025-03-02T10:03:49.495450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9978538 2
 
< 0.1%
-0.99717094 2
 
< 0.1%
-0.99844414 2
 
< 0.1%
-0.99375634 1
 
< 0.1%
-0.99761356 1
 
< 0.1%
-0.98774299 1
 
< 0.1%
-0.99040223 1
 
< 0.1%
-0.9938277 1
 
< 0.1%
-0.99605427 1
 
< 0.1%
-0.98615502 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99995159 1
< 0.1%
-0.99991278 1
< 0.1%
-0.99988208 1
< 0.1%
-0.99984886 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93479706 1
< 0.1%
0.90819869 1
< 0.1%
0.89937964 1
< 0.1%
0.81623598 1
< 0.1%

fBodyAcc-max()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6594966972
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7110
Negative (%)96.7%
Memory size57.6 KiB
2025-03-02T10:03:49.540752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9954692625
Q1-0.980366285
median-0.872469575
Q3-0.3524756875
95-th percentile-0.06084569785
Maximum1
Range2
Interquartile range (IQR)0.6278905975

Descriptive statistics

Standard deviation0.3530829333
Coefficient of variation (CV)-0.5353824133
Kurtosis-0.9621855793
Mean-0.6594966972
Median Absolute Deviation (MAD)0.124053045
Skewness0.5896849728
Sum-4848.619718
Variance0.1246675578
MonotonicityNot monotonic
2025-03-02T10:03:49.587239image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98316285 1
 
< 0.1%
-0.95429584 1
 
< 0.1%
-0.90619285 1
 
< 0.1%
-0.94170509 1
 
< 0.1%
-0.92728525 1
 
< 0.1%
-0.92205788 1
 
< 0.1%
-0.94888775 1
 
< 0.1%
-0.97540009 1
 
< 0.1%
-0.97239312 1
 
< 0.1%
-0.98898971 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9994032 1
< 0.1%
-0.99912532 1
< 0.1%
-0.99903005 1
< 0.1%
-0.99896372 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.57738223 1
< 0.1%
0.50361722 1
< 0.1%
0.42797992 1
< 0.1%
0.42342913 1
< 0.1%

fBodyAcc-max()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6255168205
Minimum-0.99980523
Maximum1
Zeros0
Zeros (%)0.0%
Negative6731
Negative (%)91.6%
Memory size57.6 KiB
2025-03-02T10:03:49.634479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99980523
5-th percentile-0.9940857445
Q1-0.97550279
median-0.82822297
Q3-0.3524506025
95-th percentile0.1369316905
Maximum1
Range1.99980523
Interquartile range (IQR)0.6230521875

Descriptive statistics

Standard deviation0.4068596167
Coefficient of variation (CV)-0.6504375316
Kurtosis0.2128711568
Mean-0.6255168205
Median Absolute Deviation (MAD)0.166372105
Skewness0.9708516788
Sum-4598.799664
Variance0.1655347477
MonotonicityNot monotonic
2025-03-02T10:03:49.683374image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.88505422 1
 
< 0.1%
-0.87457136 1
 
< 0.1%
-0.78155658 1
 
< 0.1%
-0.90020327 1
 
< 0.1%
-0.93543888 1
 
< 0.1%
-0.94431257 1
 
< 0.1%
-0.95807037 1
 
< 0.1%
-0.97771226 1
 
< 0.1%
-0.94592225 1
 
< 0.1%
-0.99117563 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.99980523 1
< 0.1%
-0.99971792 1
< 0.1%
-0.99957133 1
< 0.1%
-0.99932039 1
< 0.1%
-0.99918617 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99242792 1
< 0.1%
0.93550128 1
< 0.1%
0.92765758 1
< 0.1%
0.91214208 1
< 0.1%

fBodyAcc-min()-X
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8527693811
Minimum-0.99999831
Maximum1
Zeros0
Zeros (%)0.0%
Negative7252
Negative (%)98.6%
Memory size57.6 KiB
2025-03-02T10:03:49.732173image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999831
5-th percentile-0.998981494
Q1-0.9948338375
median-0.9777458
Q3-0.7860501725
95-th percentile-0.3741853545
Maximum1
Range1.99999831
Interquartile range (IQR)0.208783665

Descriptive statistics

Standard deviation0.2345126309
Coefficient of variation (CV)-0.2750012326
Kurtosis8.000384662
Mean-0.8527693811
Median Absolute Deviation (MAD)0.021177325
Skewness2.502411734
Sum-6269.56049
Variance0.05499617407
MonotonicityNot monotonic
2025-03-02T10:03:49.779966image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99824233 2
 
< 0.1%
-0.99827739 2
 
< 0.1%
-0.97762995 2
 
< 0.1%
-0.99783048 2
 
< 0.1%
-0.99693254 2
 
< 0.1%
-0.87919426 1
 
< 0.1%
-0.98327447 1
 
< 0.1%
-0.97980246 1
 
< 0.1%
-0.99552057 1
 
< 0.1%
-0.99657114 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-0.99999831 1
< 0.1%
-0.99999692 1
< 0.1%
-0.99999409 1
< 0.1%
-0.9999939 1
< 0.1%
-0.9999935 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97810432 1
< 0.1%
0.70223772 1
< 0.1%
0.69196579 1
< 0.1%
0.67009479 1
< 0.1%

fBodyAcc-min()-Y
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8800851518
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7316
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:03:49.826764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.998334578
Q1-0.99239768
median-0.969951395
Q3-0.8240769525
95-th percentile-0.5297746975
Maximum1
Range2
Interquartile range (IQR)0.1683207275

Descriptive statistics

Standard deviation0.1805138696
Coefficient of variation (CV)-0.2051095501
Kurtosis11.71765349
Mean-0.8800851518
Median Absolute Deviation (MAD)0.02780348
Skewness2.745094922
Sum-6470.386036
Variance0.03258525711
MonotonicityNot monotonic
2025-03-02T10:03:49.878202image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99598811 2
 
< 0.1%
-0.99844176 2
 
< 0.1%
-0.99507533 2
 
< 0.1%
-0.99052853 2
 
< 0.1%
-0.99344611 1
 
< 0.1%
-0.99285347 1
 
< 0.1%
-0.9993204 1
 
< 0.1%
-0.97588718 1
 
< 0.1%
-0.99425726 1
 
< 0.1%
-0.97680108 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999813 1
< 0.1%
-0.99998886 1
< 0.1%
-0.99998418 1
< 0.1%
-0.99998382 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.78176156 1
< 0.1%
0.77044367 1
< 0.1%
0.72309845 1
< 0.1%
0.63786668 1
< 0.1%

fBodyAcc-min()-Z
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.912571979
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7338
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:49.924909image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.998272779
Q1-0.9919382825
median-0.975130575
Q3-0.8783720525
95-th percentile-0.6546645625
Maximum1
Range2
Interquartile range (IQR)0.11356623

Descriptive statistics

Standard deviation0.1334300084
Coefficient of variation (CV)-0.1462131333
Kurtosis17.94631604
Mean-0.912571979
Median Absolute Deviation (MAD)0.02193793
Skewness3.194484077
Sum-6709.229189
Variance0.01780356714
MonotonicityNot monotonic
2025-03-02T10:03:49.970597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9935773 2
 
< 0.1%
-0.99828837 2
 
< 0.1%
-0.99386293 2
 
< 0.1%
-0.97643456 1
 
< 0.1%
-0.99469846 1
 
< 0.1%
-0.93876111 1
 
< 0.1%
-0.95821091 1
 
< 0.1%
-0.98889319 1
 
< 0.1%
-0.98475279 1
 
< 0.1%
-0.978955 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99997677 1
< 0.1%
-0.99996959 1
< 0.1%
-0.9999682 1
< 0.1%
-0.99995992 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.40255332 1
< 0.1%
0.36230406 1
< 0.1%
0.26624427 1
< 0.1%
0.25880786 1
< 0.1%

fBodyAcc-sma()
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5540516944
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6114
Negative (%)83.2%
Memory size57.6 KiB
2025-03-02T10:03:50.018810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9954953555
Q1-0.98692814
median-0.905546815
Q3-0.10506702
95-th percentile0.216538109
Maximum1
Range2
Interquartile range (IQR)0.88186112

Descriptive statistics

Standard deviation0.4801396041
Coefficient of variation (CV)-0.8665971224
Kurtosis-1.262241178
Mean-0.5540516944
Median Absolute Deviation (MAD)0.09062981
Skewness0.5007612713
Sum-4073.388057
Variance0.2305340394
MonotonicityNot monotonic
2025-03-02T10:03:50.069469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98808984 2
 
< 0.1%
-0.99152941 2
 
< 0.1%
-0.99186 2
 
< 0.1%
-0.98844722 2
 
< 0.1%
-0.97473271 1
 
< 0.1%
-0.98013529 1
 
< 0.1%
-0.93229807 1
 
< 0.1%
-0.98322844 1
 
< 0.1%
-0.98143289 1
 
< 0.1%
-0.9884206 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9996535 1
< 0.1%
-0.99963318 1
< 0.1%
-0.99929206 1
< 0.1%
-0.99910564 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98360282 1
< 0.1%
0.94522966 1
< 0.1%
0.94059331 1
< 0.1%
0.93745346 1
< 0.1%

fBodyAcc-energy()-X
Real number (ℝ)

Distinct7034
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.820571377
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7254
Negative (%)98.7%
Memory size57.6 KiB
2025-03-02T10:03:50.116110image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999986149
Q1-0.999942365
median-0.998325145
Q3-0.7113234325
95-th percentile-0.2722171545
Maximum1
Range2
Interquartile range (IQR)0.2886189325

Descriptive statistics

Standard deviation0.2595186653
Coefficient of variation (CV)-0.3162658027
Kurtosis3.581100384
Mean-0.820571377
Median Absolute Deviation (MAD)0.00166522
Skewness1.772008888
Sum-6032.840764
Variance0.06734993762
MonotonicityNot monotonic
2025-03-02T10:03:50.161832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997875 4
 
0.1%
-0.99998779 4
 
0.1%
-0.99997813 3
 
< 0.1%
-0.99995968 3
 
< 0.1%
-0.99998823 3
 
< 0.1%
-0.99996051 3
 
< 0.1%
-0.99998643 3
 
< 0.1%
-0.9998534 3
 
< 0.1%
-0.999972 3
 
< 0.1%
-0.99999147 3
 
< 0.1%
Other values (7024) 7320
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999955 1
< 0.1%
-0.99999934 1
< 0.1%
-0.99999917 1
< 0.1%
-0.99999873 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8050447 1
< 0.1%
0.76172978 1
< 0.1%
0.71778864 1
< 0.1%
0.65148795 1
< 0.1%

fBodyAcc-energy()-Y
Real number (ℝ)

Distinct7298
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7516488914
Minimum-0.99999872
Maximum0.83686006
Zeros0
Zeros (%)0.0%
Negative7205
Negative (%)98.0%
Memory size57.6 KiB
2025-03-02T10:03:50.207099image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999872
5-th percentile-0.9999161255
Q1-0.9995434975
median-0.987654415
Q3-0.5285938825
95-th percentile-0.1604726655
Maximum0.83686006
Range1.83685878
Interquartile range (IQR)0.470949615

Descriptive statistics

Standard deviation0.3090039328
Coefficient of variation (CV)-0.4111014283
Kurtosis0.4452610996
Mean-0.7516488914
Median Absolute Deviation (MAD)0.012289635
Skewness1.048776892
Sum-5526.12265
Variance0.0954834305
MonotonicityNot monotonic
2025-03-02T10:03:50.251434image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99968911 2
 
< 0.1%
-0.99994478 2
 
< 0.1%
-0.99991217 2
 
< 0.1%
-0.99994646 2
 
< 0.1%
-0.99990953 2
 
< 0.1%
-0.99983989 2
 
< 0.1%
-0.99990278 2
 
< 0.1%
-0.99965103 2
 
< 0.1%
-0.99957669 2
 
< 0.1%
-0.99922748 2
 
< 0.1%
Other values (7288) 7332
99.7%
ValueCountFrequency (%)
-0.99999872 1
< 0.1%
-0.99999843 1
< 0.1%
-0.99998409 1
< 0.1%
-0.99998362 1
< 0.1%
-0.99998263 1
< 0.1%
ValueCountFrequency (%)
0.83686006 1
< 0.1%
0.75544448 1
< 0.1%
0.68964235 1
< 0.1%
0.6798856 1
< 0.1%
0.64728418 1
< 0.1%

fBodyAcc-energy()-Z
Real number (ℝ)

Distinct7306
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8304497856
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7259
Negative (%)98.7%
Memory size57.6 KiB
2025-03-02T10:03:50.296050image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9998627075
Q1-0.9994807625
median-0.98794557
Q3-0.7202719375
95-th percentile-0.3562710705
Maximum1
Range2
Interquartile range (IQR)0.279208825

Descriptive statistics

Standard deviation0.243625496
Coefficient of variation (CV)-0.2933657161
Kurtosis6.328945505
Mean-0.8304497856
Median Absolute Deviation (MAD)0.011966475
Skewness2.110118448
Sum-6105.466824
Variance0.05935338232
MonotonicityNot monotonic
2025-03-02T10:03:50.342601image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9991103 3
 
< 0.1%
-0.99982533 2
 
< 0.1%
-0.99990506 2
 
< 0.1%
-0.99967219 2
 
< 0.1%
-0.99984325 2
 
< 0.1%
-0.99960002 2
 
< 0.1%
-0.99938916 2
 
< 0.1%
-0.99949203 2
 
< 0.1%
-0.99988663 2
 
< 0.1%
-0.99973522 2
 
< 0.1%
Other values (7296) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999443 1
< 0.1%
-0.99999077 1
< 0.1%
-0.99999 1
< 0.1%
-0.99998717 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86608214 1
< 0.1%
0.81147244 1
< 0.1%
0.78535498 1
< 0.1%
0.73106603 1
< 0.1%

fBodyAcc-iqr()-X
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6558098751
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6828
Negative (%)92.9%
Memory size57.6 KiB
2025-03-02T10:03:50.475230image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9952636995
Q1-0.9902494775
median-0.95173708
Q3-0.326107795
95-th percentile0.0696603288
Maximum1
Range2
Interquartile range (IQR)0.6641416825

Descriptive statistics

Standard deviation0.4012967579
Coefficient of variation (CV)-0.6119102093
Kurtosis-0.459348477
Mean-0.6558098751
Median Absolute Deviation (MAD)0.04399759
Skewness0.8246200563
Sum-4821.514202
Variance0.1610390879
MonotonicityNot monotonic
2025-03-02T10:03:50.522446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98947249 2
 
< 0.1%
-0.99315075 2
 
< 0.1%
-0.99007226 2
 
< 0.1%
-0.99592602 1
 
< 0.1%
-0.99093401 1
 
< 0.1%
-0.9724757 1
 
< 0.1%
-0.96861157 1
 
< 0.1%
-0.9752652 1
 
< 0.1%
-0.972753 1
 
< 0.1%
-0.98235786 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99915707 1
< 0.1%
-0.99911449 1
< 0.1%
-0.99898088 1
< 0.1%
-0.99896984 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.7741822 1
< 0.1%
0.74737742 1
< 0.1%
0.72680774 1
< 0.1%
0.71613333 1
< 0.1%

fBodyAcc-iqr()-Y
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6530707877
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6905
Negative (%)93.9%
Memory size57.6 KiB
2025-03-02T10:03:50.567404image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9944015315
Q1-0.9874413025
median-0.933188215
Q3-0.3112058475
95-th percentile0.034707228
Maximum1
Range2
Interquartile range (IQR)0.676235455

Descriptive statistics

Standard deviation0.3914318576
Coefficient of variation (CV)-0.599371255
Kurtosis-0.6821667863
Mean-0.6530707877
Median Absolute Deviation (MAD)0.06185973
Skewness0.7422905469
Sum-4801.376431
Variance0.1532188992
MonotonicityNot monotonic
2025-03-02T10:03:50.614684image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98886036 2
 
< 0.1%
-0.98895966 2
 
< 0.1%
-0.9851291 2
 
< 0.1%
-0.99217422 2
 
< 0.1%
-0.98982021 2
 
< 0.1%
-0.98970889 1
 
< 0.1%
-0.96042924 1
 
< 0.1%
-0.9412727 1
 
< 0.1%
-0.970409 1
 
< 0.1%
-0.96572218 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99934994 1
< 0.1%
-0.99930475 1
< 0.1%
-0.99884337 1
< 0.1%
-0.99881455 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.84528817 1
< 0.1%
0.83001099 1
< 0.1%
0.7948206 1
< 0.1%
0.75388577 1
< 0.1%

fBodyAcc-iqr()-Z
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7467494136
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7208
Negative (%)98.0%
Memory size57.6 KiB
2025-03-02T10:03:50.661331image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9902463505
Q1-0.9832732675
median-0.9430209
Q3-0.5332138425
95-th percentile-0.194245602
Maximum1
Range2
Interquartile range (IQR)0.450059425

Descriptive statistics

Standard deviation0.2964598634
Coefficient of variation (CV)-0.3970004636
Kurtosis0.850753102
Mean-0.7467494136
Median Absolute Deviation (MAD)0.04801025
Skewness1.153786407
Sum-5490.101689
Variance0.08788845059
MonotonicityNot monotonic
2025-03-02T10:03:50.708372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98204922 2
 
< 0.1%
-0.98967648 2
 
< 0.1%
-0.98799115 1
 
< 0.1%
-0.9789913 1
 
< 0.1%
-0.96550957 1
 
< 0.1%
-0.95005855 1
 
< 0.1%
-0.93994285 1
 
< 0.1%
-0.9342035 1
 
< 0.1%
-0.94644912 1
 
< 0.1%
-0.96650891 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99759666 1
< 0.1%
-0.99725988 1
< 0.1%
-0.99662188 1
< 0.1%
-0.99660497 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.68145159 1
< 0.1%
0.58636116 1
< 0.1%
0.57504678 1
< 0.1%
0.57185723 1
< 0.1%

fBodyAcc-entropy()-X
Real number (ℝ)

Distinct3602
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2107688612
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4044
Negative (%)55.0%
Memory size57.6 KiB
2025-03-02T10:03:50.753433image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-0.94635692
median-0.52805833
Q30.549974635
95-th percentile0.7476342845
Maximum1
Range2
Interquartile range (IQR)1.496331555

Descriptive statistics

Standard deviation0.7250635695
Coefficient of variation (CV)-3.44008866
Kurtosis-1.810638534
Mean-0.2107688612
Median Absolute Deviation (MAD)0.47194167
Skewness0.1542296403
Sum-1549.572668
Variance0.5257171798
MonotonicityNot monotonic
2025-03-02T10:03:50.801519image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 1334
 
18.1%
-0.94635692 740
 
10.1%
-0.90731609 261
 
3.6%
-0.87389237 148
 
2.0%
-0.89287915 129
 
1.8%
-0.85400629 106
 
1.4%
-0.8207533 75
 
1.0%
-0.84417805 66
 
0.9%
-0.79263267 56
 
0.8%
-0.81726864 54
 
0.7%
Other values (3592) 4383
59.6%
ValueCountFrequency (%)
-1 1334
18.1%
-0.94635692 740
10.1%
-0.90731609 261
 
3.6%
-0.89287915 129
 
1.8%
-0.87389237 148
 
2.0%
ValueCountFrequency (%)
1 1
< 0.1%
0.9844344 1
< 0.1%
0.97140836 1
< 0.1%
0.97011305 1
< 0.1%
0.96433102 1
< 0.1%

fBodyAcc-entropy()-Y
Real number (ℝ)

Distinct3801
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1932508289
Minimum-1
Maximum0.90901463
Zeros0
Zeros (%)0.0%
Negative4020
Negative (%)54.7%
Memory size57.6 KiB
2025-03-02T10:03:50.848959image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-0.87039785
median-0.40487816
Q30.5025659575
95-th percentile0.6781461085
Maximum0.90901463
Range1.90901463
Interquartile range (IQR)1.372963808

Descriptive statistics

Standard deviation0.6696062501
Coefficient of variation (CV)-3.464959266
Kurtosis-1.777327693
Mean-0.1932508289
Median Absolute Deviation (MAD)0.59512184
Skewness0.0935764759
Sum-1420.780094
Variance0.4483725302
MonotonicityNot monotonic
2025-03-02T10:03:50.895817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.94487044 766
 
10.4%
-1 624
 
8.5%
-0.90474776 312
 
4.2%
-0.87039785 190
 
2.6%
-0.88991077 122
 
1.7%
-0.83986013 115
 
1.6%
-0.81220504 102
 
1.4%
-0.81578627 89
 
1.2%
-0.84996072 87
 
1.2%
-0.78542693 67
 
0.9%
Other values (3791) 4878
66.3%
ValueCountFrequency (%)
-1 624
8.5%
-0.94487044 766
10.4%
-0.90474776 312
4.2%
-0.88991077 122
 
1.7%
-0.87039785 190
 
2.6%
ValueCountFrequency (%)
0.90901463 1
< 0.1%
0.90768342 1
< 0.1%
0.90217946 1
< 0.1%
0.89806103 1
< 0.1%
0.88843836 1
< 0.1%

fBodyAcc-entropy()-Z
Real number (ℝ)

Distinct3811
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2104070265
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4046
Negative (%)55.0%
Memory size57.6 KiB
2025-03-02T10:03:50.941546image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.94419022
Q1-0.81351333
median-0.41342598
Q30.4114749825
95-th percentile0.650900311
Maximum1
Range2
Interquartile range (IQR)1.224988313

Descriptive statistics

Standard deviation0.6167029884
Coefficient of variation (CV)-2.930999969
Kurtosis-1.681890915
Mean-0.2104070265
Median Absolute Deviation (MAD)0.530113735
Skewness0.1656021315
Sum-1546.912459
Variance0.3803225759
MonotonicityNot monotonic
2025-03-02T10:03:50.989482image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.90357248 425
 
5.8%
-0.94419022 378
 
5.1%
-0.86879874 348
 
4.7%
-0.83788423 255
 
3.5%
-0.81351333 169
 
2.3%
-0.80988792 161
 
2.2%
-0.84810945 148
 
2.0%
-0.7827794 136
 
1.8%
-1 122
 
1.7%
-0.78425687 117
 
1.6%
Other values (3801) 5093
69.3%
ValueCountFrequency (%)
-1 122
 
1.7%
-0.94419022 378
5.1%
-0.90357248 425
5.8%
-0.88855242 104
 
1.4%
-0.86879874 348
4.7%
ValueCountFrequency (%)
1 1
< 0.1%
0.98746785 1
< 0.1%
0.98056099 1
< 0.1%
0.9597617 1
< 0.1%
0.95786347 1
< 0.1%

fBodyAcc-maxInds-X
Real number (ℝ)

Distinct29
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7662869866
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7183
Negative (%)97.7%
Memory size57.6 KiB
2025-03-02T10:03:51.032855image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.80645161
Q3-0.74193548
95-th percentile-0.22580645
Maximum1
Range2
Interquartile range (IQR)0.25806452

Descriptive statistics

Standard deviation0.2592811234
Coefficient of variation (CV)-0.3383603374
Kurtosis5.124578763
Mean-0.7662869866
Median Absolute Deviation (MAD)0.12903226
Skewness1.965934471
Sum-5633.741925
Variance0.06722670093
MonotonicityNot monotonic
2025-03-02T10:03:51.073677image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-1 2198
29.9%
-0.80645161 1903
25.9%
-0.74193548 1272
17.3%
-0.87096774 230
 
3.1%
-0.48387097 219
 
3.0%
-0.93548387 198
 
2.7%
-0.41935484 194
 
2.6%
-0.61290323 187
 
2.5%
-0.67741935 165
 
2.2%
-0.5483871 164
 
2.2%
Other values (19) 622
 
8.5%
ValueCountFrequency (%)
-1 2198
29.9%
-0.93548387 198
 
2.7%
-0.87096774 230
 
3.1%
-0.80645161 1903
25.9%
-0.74193548 1272
17.3%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.80645161 1
 
< 0.1%
0.74193548 2
 
< 0.1%
0.61290323 4
0.1%
0.5483871 6
0.1%

fBodyAcc-maxInds-Y
Real number (ℝ)

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7963184615
Minimum-1
Maximum1
Zeros34
Zeros (%)0.5%
Negative7228
Negative (%)98.3%
Memory size57.6 KiB
2025-03-02T10:03:51.114226image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.8
Q3-0.73333333
95-th percentile-0.26666667
Maximum1
Range2
Interquartile range (IQR)0.26666667

Descriptive statistics

Standard deviation0.2463924685
Coefficient of variation (CV)-0.3094144873
Kurtosis3.66027259
Mean-0.7963184615
Median Absolute Deviation (MAD)0.2
Skewness1.744000359
Sum-5854.533329
Variance0.06070924853
MonotonicityNot monotonic
2025-03-02T10:03:51.157458image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1 2611
35.5%
-0.8 1306
17.8%
-0.73333333 943
 
12.8%
-0.93333333 781
 
10.6%
-0.46666667 242
 
3.3%
-0.6 235
 
3.2%
-0.53333333 211
 
2.9%
-0.86666667 199
 
2.7%
-0.66666667 174
 
2.4%
-0.4 118
 
1.6%
Other values (16) 532
 
7.2%
ValueCountFrequency (%)
-1 2611
35.5%
-0.93333333 781
 
10.6%
-0.86666667 199
 
2.7%
-0.8 1306
17.8%
-0.73333333 943
 
12.8%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.73333333 1
 
< 0.1%
0.53333333 1
 
< 0.1%
0.46666667 4
0.1%
0.4 3
< 0.1%

fBodyAcc-maxInds-Z
Real number (ℝ)

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8442600644
Minimum-1
Maximum0.92307692
Zeros26
Zeros (%)0.4%
Negative7191
Negative (%)97.8%
Memory size57.6 KiB
2025-03-02T10:03:51.196815image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.92307692
Q3-0.76923077
95-th percentile-0.30769231
Maximum0.92307692
Range1.92307692
Interquartile range (IQR)0.23076923

Descriptive statistics

Standard deviation0.2421053751
Coefficient of variation (CV)-0.2867663476
Kurtosis8.300382151
Mean-0.8442600644
Median Absolute Deviation (MAD)0.07692308
Skewness2.615672177
Sum-6206.999994
Variance0.05861501266
MonotonicityNot monotonic
2025-03-02T10:03:51.237922image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1 3043
41.4%
-0.92307692 1850
25.2%
-0.69230769 768
 
10.4%
-0.76923077 694
 
9.4%
-0.84615385 194
 
2.6%
-0.61538462 126
 
1.7%
-0.38461538 116
 
1.6%
-0.46153846 97
 
1.3%
-0.53846154 90
 
1.2%
-0.30769231 64
 
0.9%
Other values (16) 310
 
4.2%
ValueCountFrequency (%)
-1 3043
41.4%
-0.92307692 1850
25.2%
-0.84615385 194
 
2.6%
-0.76923077 694
 
9.4%
-0.69230769 768
 
10.4%
ValueCountFrequency (%)
0.92307692 1
 
< 0.1%
0.84615385 1
 
< 0.1%
0.76923077 1
 
< 0.1%
0.69230769 2
< 0.1%
0.61538462 3
< 0.1%

fBodyAcc-meanFreq()-X
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2273249396
Minimum-1
Maximum0.9141467
Zeros0
Zeros (%)0.0%
Negative5710
Negative (%)77.7%
Memory size57.6 KiB
2025-03-02T10:03:51.282043image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6424846145
Q1-0.4235118725
median-0.243307905
Q3-0.02351097275
95-th percentile0.2039706685
Maximum0.9141467
Range1.9141467
Interquartile range (IQR)0.4000008997

Descriptive statistics

Standard deviation0.2647275037
Coefficient of variation (CV)-1.164533483
Kurtosis-0.414741658
Mean-0.2273249396
Median Absolute Deviation (MAD)0.1981997915
Skewness0.09635606496
Sum-1671.292956
Variance0.07008065122
MonotonicityNot monotonic
2025-03-02T10:03:51.329013image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.2524829 1
 
< 0.1%
-0.19462892 1
 
< 0.1%
-0.227444 1
 
< 0.1%
0.058930948 1
 
< 0.1%
0.13388992 1
 
< 0.1%
-0.26670448 1
 
< 0.1%
-0.11000462 1
 
< 0.1%
-0.20154614 1
 
< 0.1%
-0.063092149 1
 
< 0.1%
-0.053440505 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99873509 1
< 0.1%
-0.99175242 1
< 0.1%
-0.96909256 1
< 0.1%
-0.9671549 1
< 0.1%
ValueCountFrequency (%)
0.9141467 1
< 0.1%
0.79903412 1
< 0.1%
0.65332726 1
< 0.1%
0.61961208 1
< 0.1%
0.54418905 1
< 0.1%

fBodyAcc-meanFreq()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01360158519
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3654
Negative (%)49.7%
Memory size57.6 KiB
2025-03-02T10:03:51.375217image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.368051287
Q1-0.14805052
median0.00170877675
Q30.175238285
95-th percentile0.4215175755
Maximum1
Range2
Interquartile range (IQR)0.323288805

Descriptive statistics

Standard deviation0.2397658642
Coefficient of variation (CV)17.62778829
Kurtosis0.08313782989
Mean0.01360158519
Median Absolute Deviation (MAD)0.159687695
Skewness0.08887971581
Sum99.99885431
Variance0.05748766961
MonotonicityNot monotonic
2025-03-02T10:03:51.422143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.13183575 1
 
< 0.1%
-0.44382115 1
 
< 0.1%
-0.53054834 1
 
< 0.1%
-0.036943123 1
 
< 0.1%
-0.37615555 1
 
< 0.1%
-0.53655151 1
 
< 0.1%
-0.24502211 1
 
< 0.1%
-0.040018501 1
 
< 0.1%
0.089931045 1
 
< 0.1%
0.16529714 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.75439485 1
< 0.1%
-0.7432351 1
< 0.1%
-0.74097555 1
< 0.1%
-0.73239939 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92976984 1
< 0.1%
0.90369832 1
< 0.1%
0.9019738 1
< 0.1%
0.89439921 1
< 0.1%

fBodyAcc-meanFreq()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04531592786
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3101
Negative (%)42.2%
Memory size57.6 KiB
2025-03-02T10:03:51.468408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.4565739595
Q1-0.14511729
median0.062076415
Q30.2545415475
95-th percentile0.485125209
Maximum1
Range2
Interquartile range (IQR)0.3996588375

Descriptive statistics

Standard deviation0.2891700702
Coefficient of variation (CV)6.381201575
Kurtosis-0.01285152449
Mean0.04531592786
Median Absolute Deviation (MAD)0.19968092
Skewness-0.252489252
Sum333.1627016
Variance0.08361932952
MonotonicityNot monotonic
2025-03-02T10:03:51.515266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.052050251 1
 
< 0.1%
-0.46364476 1
 
< 0.1%
-0.56421848 1
 
< 0.1%
-0.13423025 1
 
< 0.1%
-0.078083027 1
 
< 0.1%
-0.15101503 1
 
< 0.1%
-0.035865849 1
 
< 0.1%
0.17479726 1
 
< 0.1%
0.20791155 1
 
< 0.1%
0.55225936 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.98554246 1
< 0.1%
-0.98451497 1
< 0.1%
-0.94893675 1
< 0.1%
-0.93705808 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93997351 1
< 0.1%
0.93953878 1
< 0.1%
0.90810535 1
< 0.1%
0.90342753 1
< 0.1%

fBodyAcc-skewness()-X
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1285622513
Minimum-0.93120793
Maximum1
Zeros0
Zeros (%)0.0%
Negative4735
Negative (%)64.4%
Memory size57.6 KiB
2025-03-02T10:03:51.561432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.93120793
5-th percentile-0.673927593
Q1-0.48684108
median-0.16327106
Q30.1551118275
95-th percentile0.6032886265
Maximum1
Range1.93120793
Interquartile range (IQR)0.6419529075

Descriptive statistics

Standard deviation0.4036860906
Coefficient of variation (CV)-3.140004834
Kurtosis-0.5878509619
Mean-0.1285622513
Median Absolute Deviation (MAD)0.320815655
Skewness0.4617406703
Sum-945.1896716
Variance0.1629624597
MonotonicityNot monotonic
2025-03-02T10:03:51.608801image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.52618039 2
 
< 0.1%
-0.11681998 2
 
< 0.1%
0.14205056 1
 
< 0.1%
0.18366625 1
 
< 0.1%
0.4790983 1
 
< 0.1%
-0.39672544 1
 
< 0.1%
-0.42024782 1
 
< 0.1%
-0.44643036 1
 
< 0.1%
-0.57355908 1
 
< 0.1%
-0.59919322 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-0.93120793 1
< 0.1%
-0.93099151 1
< 0.1%
-0.91890884 1
< 0.1%
-0.85127237 1
< 0.1%
-0.84232814 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98766273 1
< 0.1%
0.98290613 1
< 0.1%
0.97351362 1
< 0.1%
0.96674478 1
< 0.1%

fBodyAcc-kurtosis()-X
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4575098284
Minimum-0.99941209
Maximum1
Zeros0
Zeros (%)0.0%
Negative6097
Negative (%)82.9%
Memory size57.6 KiB
2025-03-02T10:03:51.742237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99941209
5-th percentile-0.947689263
Q1-0.8410584925
median-0.573576785
Q3-0.1742300025
95-th percentile0.436627628
Maximum1
Range1.99941209
Interquartile range (IQR)0.66682849

Descriptive statistics

Standard deviation0.446169524
Coefficient of variation (CV)-0.9752129818
Kurtosis0.1234359831
Mean-0.4575098284
Median Absolute Deviation (MAD)0.299692175
Skewness0.9346548469
Sum-3363.612259
Variance0.1990672441
MonotonicityNot monotonic
2025-03-02T10:03:51.789499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.72159403 2
 
< 0.1%
-0.1506825 1
 
< 0.1%
0.29916056 1
 
< 0.1%
-0.0030447821 1
 
< 0.1%
0.13366285 1
 
< 0.1%
0.2849134 1
 
< 0.1%
-0.80237197 1
 
< 0.1%
-0.7731557 1
 
< 0.1%
-0.83510728 1
 
< 0.1%
-0.90482884 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.99941209 1
< 0.1%
-0.99644612 1
< 0.1%
-0.99442869 1
< 0.1%
-0.99324227 1
< 0.1%
-0.99180812 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98228075 1
< 0.1%
0.97601804 1
< 0.1%
0.96312173 1
< 0.1%
0.95145291 1
< 0.1%

fBodyAcc-skewness()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2638313797
Minimum-1
Maximum0.97555005
Zeros0
Zeros (%)0.0%
Negative5906
Negative (%)80.3%
Memory size57.6 KiB
2025-03-02T10:03:51.836187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6848317815
Q1-0.523128135
median-0.356939825
Q3-0.09681350575
95-th percentile0.5122895975
Maximum0.97555005
Range1.97555005
Interquartile range (IQR)0.4263146292

Descriptive statistics

Standard deviation0.3584948915
Coefficient of variation (CV)-1.358803081
Kurtosis0.6833738644
Mean-0.2638313797
Median Absolute Deviation (MAD)0.197649065
Skewness1.082935054
Sum-1939.688304
Variance0.1285185873
MonotonicityNot monotonic
2025-03-02T10:03:51.882417image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.22054694 1
 
< 0.1%
-0.24030883 1
 
< 0.1%
0.12612992 1
 
< 0.1%
-0.22945709 1
 
< 0.1%
-0.29814602 1
 
< 0.1%
-0.26956082 1
 
< 0.1%
-0.37353543 1
 
< 0.1%
-0.51574402 1
 
< 0.1%
-0.024901503 1
 
< 0.1%
-0.55775957 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.89290872 1
< 0.1%
-0.87245141 1
< 0.1%
-0.86946525 1
< 0.1%
-0.86610238 1
< 0.1%
ValueCountFrequency (%)
0.97555005 1
< 0.1%
0.96182505 1
< 0.1%
0.95544231 1
< 0.1%
0.95430194 1
< 0.1%
0.94913005 1
< 0.1%

fBodyAcc-kurtosis()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5781131237
Minimum-1
Maximum0.96627476
Zeros0
Zeros (%)0.0%
Negative6589
Negative (%)89.6%
Memory size57.6 KiB
2025-03-02T10:03:51.930526image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9372840295
Q1-0.8496817175
median-0.71941766
Q3-0.448497865
95-th percentile0.317430761
Maximum0.96627476
Range1.96627476
Interquartile range (IQR)0.4011838525

Descriptive statistics

Standard deviation0.3887961642
Coefficient of variation (CV)-0.6725260996
Kurtosis1.952272835
Mean-0.5781131237
Median Absolute Deviation (MAD)0.16347859
Skewness1.572131711
Sum-4250.287686
Variance0.1511624573
MonotonicityNot monotonic
2025-03-02T10:03:51.980442image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.55873853 1
 
< 0.1%
-0.67593243 1
 
< 0.1%
-0.22886479 1
 
< 0.1%
-0.61436647 1
 
< 0.1%
-0.70687416 1
 
< 0.1%
-0.71788707 1
 
< 0.1%
-0.77615619 1
 
< 0.1%
-0.79399736 1
 
< 0.1%
-0.31787564 1
 
< 0.1%
-0.86205118 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99981591 1
< 0.1%
-0.99929638 1
< 0.1%
-0.99786537 1
< 0.1%
-0.99631863 1
< 0.1%
ValueCountFrequency (%)
0.96627476 1
< 0.1%
0.94796473 1
< 0.1%
0.93920237 1
< 0.1%
0.93672237 1
< 0.1%
0.93188416 1
< 0.1%

fBodyAcc-skewness()-Z
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2382666672
Minimum-1
Maximum0.9849423
Zeros0
Zeros (%)0.0%
Negative5333
Negative (%)72.5%
Memory size57.6 KiB
2025-03-02T10:03:52.026918image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7792493685
Q1-0.56461158
median-0.31154968
Q30.0399896795
95-th percentile0.5350801615
Maximum0.9849423
Range1.9849423
Interquartile range (IQR)0.6046012595

Descriptive statistics

Standard deviation0.404616832
Coefficient of variation (CV)-1.698168009
Kurtosis-0.4717239353
Mean-0.2382666672
Median Absolute Deviation (MAD)0.290511435
Skewness0.5779440813
Sum-1751.736538
Variance0.1637147807
MonotonicityNot monotonic
2025-03-02T10:03:52.074813image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.66002835 2
 
< 0.1%
0.24676868 1
 
< 0.1%
-0.52036213 1
 
< 0.1%
-0.42095046 1
 
< 0.1%
-0.58877827 1
 
< 0.1%
-0.30618716 1
 
< 0.1%
-0.47035178 1
 
< 0.1%
-0.58193689 1
 
< 0.1%
0.097205443 1
 
< 0.1%
-0.73523442 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9684568 1
< 0.1%
-0.96200629 1
< 0.1%
-0.94995824 1
< 0.1%
-0.94534751 1
< 0.1%
ValueCountFrequency (%)
0.9849423 1
< 0.1%
0.96914212 1
< 0.1%
0.94325725 1
< 0.1%
0.92861264 1
< 0.1%
0.91296976 1
< 0.1%

fBodyAcc-kurtosis()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4769524225
Minimum-1
Maximum0.97998881
Zeros0
Zeros (%)0.0%
Negative6223
Negative (%)84.6%
Memory size57.6 KiB
2025-03-02T10:03:52.122007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9300848305
Q1-0.80893431
median-0.60343656
Q3-0.2308657875
95-th percentile0.3834168115
Maximum0.97998881
Range1.97998881
Interquartile range (IQR)0.5780685225

Descriptive statistics

Standard deviation0.4145056078
Coefficient of variation (CV)-0.8690711868
Kurtosis0.1929713979
Mean-0.4769524225
Median Absolute Deviation (MAD)0.247258505
Skewness1.000328737
Sum-3506.55421
Variance0.1718148989
MonotonicityNot monotonic
2025-03-02T10:03:52.170018image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.0074155206 1
 
< 0.1%
0.15547478 1
 
< 0.1%
0.1251862 1
 
< 0.1%
-0.72816833 1
 
< 0.1%
-0.85349939 1
 
< 0.1%
-0.64876205 1
 
< 0.1%
-0.71878749 1
 
< 0.1%
-0.82087716 1
 
< 0.1%
-0.16886166 1
 
< 0.1%
-0.92647409 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99193778 1
< 0.1%
-0.98906652 1
< 0.1%
-0.98887302 1
< 0.1%
-0.9885984 1
< 0.1%
ValueCountFrequency (%)
0.97998881 1
< 0.1%
0.96104396 1
< 0.1%
0.92513562 1
< 0.1%
0.90481718 1
< 0.1%
0.89188801 1
< 0.1%
Distinct6876
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8101961348
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7178
Negative (%)97.6%
Memory size57.6 KiB
2025-03-02T10:03:52.217004image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999189
Q1-0.9999605125
median-0.998135155
Q3-0.7011877725
95-th percentile-0.187123286
Maximum1
Range2
Interquartile range (IQR)0.29877274

Descriptive statistics

Standard deviation0.2832593284
Coefficient of variation (CV)-0.3496182174
Kurtosis3.98084026
Mean-0.8101961348
Median Absolute Deviation (MAD)0.00185919
Skewness1.905103496
Sum-5956.561983
Variance0.08023584712
MonotonicityNot monotonic
2025-03-02T10:03:52.263628image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999255 5
 
0.1%
-0.99998582 4
 
0.1%
-0.99999506 4
 
0.1%
-0.99999277 4
 
0.1%
-0.99999376 4
 
0.1%
-0.99997167 4
 
0.1%
-0.99999038 4
 
0.1%
-0.99999338 4
 
0.1%
-0.99998885 4
 
0.1%
-0.99999181 4
 
0.1%
Other values (6866) 7311
99.4%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999934 1
< 0.1%
-0.99999931 1
< 0.1%
-0.99999907 1
< 0.1%
-0.99999893 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89403492 1
< 0.1%
0.82516549 1
< 0.1%
0.74896228 1
< 0.1%
0.6977383 1
< 0.1%
Distinct6948
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8883992773
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7325
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:52.309382image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999844035
Q1-0.99994846
median-0.99917293
Q3-0.8223527575
95-th percentile-0.530542147
Maximum1
Range2
Interquartile range (IQR)0.1775957025

Descriptive statistics

Standard deviation0.1789090621
Coefficient of variation (CV)-0.2013836196
Kurtosis10.26117658
Mean-0.8883992773
Median Absolute Deviation (MAD)0.00081654
Skewness2.541918891
Sum-6531.511487
Variance0.03200845251
MonotonicityNot monotonic
2025-03-02T10:03:52.356176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998432 4
 
0.1%
-0.99998459 4
 
0.1%
-0.99996623 4
 
0.1%
-0.99997364 4
 
0.1%
-0.999979 4
 
0.1%
-0.9999884 4
 
0.1%
-0.99995488 3
 
< 0.1%
-0.99995999 3
 
< 0.1%
-0.9999608 3
 
< 0.1%
-0.99998029 3
 
< 0.1%
Other values (6938) 7316
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999876 1
< 0.1%
-0.9999982 1
< 0.1%
-0.99999797 1
< 0.1%
-0.9999978 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.88767143 1
< 0.1%
0.74015238 1
< 0.1%
0.57885906 1
< 0.1%
0.36915564 1
< 0.1%
Distinct7134
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8584429251
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7276
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:03:52.402402image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999967307
Q1-0.999905595
median-0.998630535
Q3-0.7832961975
95-th percentile-0.381353442
Maximum1
Range2
Interquartile range (IQR)0.2166093975

Descriptive statistics

Standard deviation0.2286597272
Coefficient of variation (CV)-0.2663656727
Kurtosis7.111537355
Mean-0.8584429251
Median Absolute Deviation (MAD)0.00134544
Skewness2.318494617
Sum-6311.272385
Variance0.05228527084
MonotonicityNot monotonic
2025-03-02T10:03:52.448700image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997355 3
 
< 0.1%
-0.99995853 3
 
< 0.1%
-0.99992432 3
 
< 0.1%
-0.99992474 3
 
< 0.1%
-0.99994309 3
 
< 0.1%
-0.99985159 3
 
< 0.1%
-0.99994346 3
 
< 0.1%
-0.99989763 3
 
< 0.1%
-0.99975259 2
 
< 0.1%
-0.99998555 2
 
< 0.1%
Other values (7124) 7324
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999995 1
< 0.1%
-0.99999873 1
< 0.1%
-0.99999733 1
< 0.1%
-0.99999716 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99976549 1
< 0.1%
0.8043081 1
< 0.1%
0.74192731 1
< 0.1%
0.69088583 1
< 0.1%
Distinct7181
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8963493595
Minimum-0.99999405
Maximum0.88145236
Zeros0
Zeros (%)0.0%
Negative7323
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:52.494222image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999405
5-th percentile-0.999950956
Q1-0.999865345
median-0.998587605
Q3-0.858669885
95-th percentile-0.526218132
Maximum0.88145236
Range1.88144641
Interquartile range (IQR)0.14119546

Descriptive statistics

Standard deviation0.1807448098
Coefficient of variation (CV)-0.2016454945
Kurtosis11.01709744
Mean-0.8963493595
Median Absolute Deviation (MAD)0.0013795
Skewness2.811001635
Sum-6589.960491
Variance0.03266868629
MonotonicityNot monotonic
2025-03-02T10:03:52.538733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99991594 4
 
0.1%
-0.99994804 3
 
< 0.1%
-0.99991185 3
 
< 0.1%
-0.99991553 3
 
< 0.1%
-0.99990152 3
 
< 0.1%
-0.99994021 3
 
< 0.1%
-0.99994701 3
 
< 0.1%
-0.99996073 3
 
< 0.1%
-0.99995895 3
 
< 0.1%
-0.9999514 3
 
< 0.1%
Other values (7171) 7321
99.6%
ValueCountFrequency (%)
-0.99999405 1
< 0.1%
-0.99999355 1
< 0.1%
-0.99999283 1
< 0.1%
-0.99999223 1
< 0.1%
-0.99999102 1
< 0.1%
ValueCountFrequency (%)
0.88145236 1
< 0.1%
0.72489322 1
< 0.1%
0.68284825 1
< 0.1%
0.52593436 1
< 0.1%
0.48741673 1
< 0.1%
Distinct7125
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9134794885
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7344
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:52.583954image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999562935
Q1-0.99988347
median-0.99882908
Q3-0.87375657
95-th percentile-0.6169168105
Maximum1
Range2
Interquartile range (IQR)0.1261269

Descriptive statistics

Standard deviation0.1455335053
Coefficient of variation (CV)-0.1593177593
Kurtosis12.97496253
Mean-0.9134794885
Median Absolute Deviation (MAD)0.001139295
Skewness2.770977058
Sum-6715.901199
Variance0.02118000116
MonotonicityNot monotonic
2025-03-02T10:03:52.629967image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99994494 3
 
< 0.1%
-0.99985368 3
 
< 0.1%
-0.999931 3
 
< 0.1%
-0.9999088 3
 
< 0.1%
-0.99997327 3
 
< 0.1%
-0.99992556 3
 
< 0.1%
-0.99990385 3
 
< 0.1%
-0.99993629 3
 
< 0.1%
-0.99997778 3
 
< 0.1%
-0.99992393 3
 
< 0.1%
Other values (7115) 7322
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999981 1
< 0.1%
-0.99999258 1
< 0.1%
-0.99999238 1
< 0.1%
-0.99999092 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8255489 1
< 0.1%
0.094002675 1
< 0.1%
0.055329542 1
< 0.1%
0.04688544 1
< 0.1%
Distinct7114
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9104805667
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7333
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:03:52.676145image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999553385
Q1-0.9998834775
median-0.998791285
Q3-0.8742629625
95-th percentile-0.6056334555
Maximum1
Range2
Interquartile range (IQR)0.125620515

Descriptive statistics

Standard deviation0.1566939555
Coefficient of variation (CV)-0.1721002745
Kurtosis16.08505658
Mean-0.9104805667
Median Absolute Deviation (MAD)0.001175225
Skewness3.168968246
Sum-6693.853126
Variance0.02455299568
MonotonicityNot monotonic
2025-03-02T10:03:52.722518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99993072 3
 
< 0.1%
-0.99993016 3
 
< 0.1%
-0.99992043 3
 
< 0.1%
-0.99993041 3
 
< 0.1%
-0.99991424 3
 
< 0.1%
-0.99992244 3
 
< 0.1%
-0.99993017 3
 
< 0.1%
-0.99996749 3
 
< 0.1%
-0.99991064 3
 
< 0.1%
-0.99994686 3
 
< 0.1%
Other values (7104) 7322
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999821 1
< 0.1%
-0.99999215 1
< 0.1%
-0.99999195 1
< 0.1%
-0.99998982 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.82084239 1
< 0.1%
0.493738 1
< 0.1%
0.44680951 1
< 0.1%
0.44419387 1
< 0.1%
Distinct6957
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9441649173
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:52.768221image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99998222
Q1-0.9999451825
median-0.999230685
Q3-0.9292211825
95-th percentile-0.7377018585
Maximum1
Range2
Interquartile range (IQR)0.070724

Descriptive statistics

Standard deviation0.1073734541
Coefficient of variation (CV)-0.1137231983
Kurtosis31.02514685
Mean-0.9441649173
Median Absolute Deviation (MAD)0.000757935
Skewness4.05667928
Sum-6941.500472
Variance0.01152905864
MonotonicityNot monotonic
2025-03-02T10:03:52.815687image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997918 5
 
0.1%
-0.99998516 4
 
0.1%
-0.99996034 4
 
0.1%
-0.99994158 3
 
< 0.1%
-0.99993072 3
 
< 0.1%
-0.99998077 3
 
< 0.1%
-0.99996175 3
 
< 0.1%
-0.99994792 3
 
< 0.1%
-0.99997916 3
 
< 0.1%
-0.999987 3
 
< 0.1%
Other values (6947) 7318
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999864 1
< 0.1%
-0.999998 1
< 0.1%
-0.99999744 1
< 0.1%
-0.99999741 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.31799554 1
< 0.1%
0.20367223 1
< 0.1%
0.14759971 1
< 0.1%
0.032323036 1
< 0.1%
Distinct6123
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9532842474
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7342
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:52.948786image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999953
Q1-0.9999890975
median-0.999669635
Q3-0.97186076
95-th percentile-0.7266729445
Maximum1
Range2
Interquartile range (IQR)0.0281283375

Descriptive statistics

Standard deviation0.1239994208
Coefficient of variation (CV)-0.13007602
Kurtosis34.69366824
Mean-0.9532842474
Median Absolute Deviation (MAD)0.00033011
Skewness4.919848045
Sum-7008.545787
Variance0.01537585637
MonotonicityNot monotonic
2025-03-02T10:03:52.995715image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999992 15
 
0.2%
-0.99999997 15
 
0.2%
-0.99999977 14
 
0.2%
-0.99999996 14
 
0.2%
-0.99999995 12
 
0.2%
-0.99999989 11
 
0.1%
-0.99999979 11
 
0.1%
-0.99999959 11
 
0.1%
-0.99999988 11
 
0.1%
-0.99999994 10
 
0.1%
Other values (6113) 7228
98.3%
ValueCountFrequency (%)
-1 6
 
0.1%
-0.99999999 10
0.1%
-0.99999998 8
0.1%
-0.99999997 15
0.2%
-0.99999996 14
0.2%
ValueCountFrequency (%)
1 1
< 0.1%
0.72205736 1
< 0.1%
0.34942175 1
< 0.1%
0.23352129 1
< 0.1%
0.20333387 1
< 0.1%
Distinct6950
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8155966218
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7213
Negative (%)98.1%
Memory size57.6 KiB
2025-03-02T10:03:53.042891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999891145
Q1-0.99994954
median-0.998308395
Q3-0.707841065
95-th percentile-0.2372205565
Maximum1
Range2
Interquartile range (IQR)0.292108475

Descriptive statistics

Standard deviation0.2706892943
Coefficient of variation (CV)-0.3318911421
Kurtosis3.850120468
Mean-0.8155966218
Median Absolute Deviation (MAD)0.001684235
Skewness1.840175735
Sum-5996.266364
Variance0.07327269404
MonotonicityNot monotonic
2025-03-02T10:03:53.090592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998717 5
 
0.1%
-0.99999234 5
 
0.1%
-0.99998297 4
 
0.1%
-0.99998238 4
 
0.1%
-0.9999799 4
 
0.1%
-0.99997635 3
 
< 0.1%
-0.99999377 3
 
< 0.1%
-0.99998862 3
 
< 0.1%
-0.9999804 3
 
< 0.1%
-0.99997795 3
 
< 0.1%
Other values (6940) 7315
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999995 1
< 0.1%
-0.99999931 1
< 0.1%
-0.99999926 1
< 0.1%
-0.99999892 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90386271 1
< 0.1%
0.84523518 1
< 0.1%
0.82441292 1
< 0.1%
0.7479507 1
< 0.1%
Distinct7152
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8475982365
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7267
Negative (%)98.8%
Memory size57.6 KiB
2025-03-02T10:03:53.136617image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999577745
Q1-0.9998814775
median-0.99835474
Q3-0.76228182
95-th percentile-0.348882072
Maximum1
Range2
Interquartile range (IQR)0.2375996575

Descriptive statistics

Standard deviation0.2409188729
Coefficient of variation (CV)-0.2842371097
Kurtosis6.200405061
Mean-0.8475982365
Median Absolute Deviation (MAD)0.00161533
Skewness2.190906742
Sum-6231.542235
Variance0.05804190333
MonotonicityNot monotonic
2025-03-02T10:03:53.182914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99989249 4
 
0.1%
-0.99993971 3
 
< 0.1%
-0.99994123 3
 
< 0.1%
-0.999937 3
 
< 0.1%
-0.99990784 3
 
< 0.1%
-0.99993807 3
 
< 0.1%
-0.99990721 3
 
< 0.1%
-0.99993834 3
 
< 0.1%
-0.99991555 2
 
< 0.1%
-0.99992721 2
 
< 0.1%
Other values (7142) 7323
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999495 1
< 0.1%
-0.9999944 1
< 0.1%
-0.99999416 1
< 0.1%
-0.99999401 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93615291 1
< 0.1%
0.92316742 1
< 0.1%
0.87942344 1
< 0.1%
0.79135781 1
< 0.1%
Distinct7122
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9123697372
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:53.228614image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999964669
Q1-0.9998978675
median-0.99879669
Q3-0.870780175
95-th percentile-0.622620797
Maximum1
Range2
Interquartile range (IQR)0.1291176925

Descriptive statistics

Standard deviation0.1446513436
Coefficient of variation (CV)-0.1585446532
Kurtosis11.82288612
Mean-0.9123697372
Median Absolute Deviation (MAD)0.0011784
Skewness2.674928781
Sum-6707.742308
Variance0.02092401121
MonotonicityNot monotonic
2025-03-02T10:03:53.275625image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997149 3
 
< 0.1%
-0.99997868 3
 
< 0.1%
-0.99996143 3
 
< 0.1%
-0.99994254 3
 
< 0.1%
-0.99994083 3
 
< 0.1%
-0.99989882 3
 
< 0.1%
-0.99994527 3
 
< 0.1%
-0.99996169 3
 
< 0.1%
-0.9999783 3
 
< 0.1%
-0.99990675 3
 
< 0.1%
Other values (7112) 7322
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999931 1
< 0.1%
-0.99999786 1
< 0.1%
-0.99999784 1
< 0.1%
-0.99999726 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.59807267 1
< 0.1%
0.16494194 1
< 0.1%
0.093629518 1
< 0.1%
0.021624042 1
< 0.1%
Distinct6866
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9472214932
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:53.323659image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999986549
Q1-0.999957855
median-0.99928605
Q3-0.94012997
95-th percentile-0.745766546
Maximum1
Range2
Interquartile range (IQR)0.059827885

Descriptive statistics

Standard deviation0.1093581083
Coefficient of variation (CV)-0.1154514641
Kurtosis33.48636786
Mean-0.9472214932
Median Absolute Deviation (MAD)0.00070549
Skewness4.398080072
Sum-6963.972418
Variance0.01195919584
MonotonicityNot monotonic
2025-03-02T10:03:53.370818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99994845 4
 
0.1%
-0.99996671 4
 
0.1%
-0.99997222 4
 
0.1%
-0.99998267 4
 
0.1%
-0.99996342 4
 
0.1%
-0.99996087 4
 
0.1%
-0.99992038 3
 
< 0.1%
-0.99997276 3
 
< 0.1%
-0.99995144 3
 
< 0.1%
-0.99999131 3
 
< 0.1%
Other values (6856) 7316
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999891 1
< 0.1%
-0.99999867 1
< 0.1%
-0.99999741 1
< 0.1%
-0.99999718 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.45342656 1
< 0.1%
0.21524521 1
< 0.1%
0.12421629 1
< 0.1%
0.060297637 1
< 0.1%
Distinct6989
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8186435744
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7246
Negative (%)98.6%
Memory size57.6 KiB
2025-03-02T10:03:53.417699image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999987779
Q1-0.99994615
median-0.998335055
Q3-0.70917243
95-th percentile-0.2587173925
Maximum1
Range2
Interquartile range (IQR)0.29077372

Descriptive statistics

Standard deviation0.2627808988
Coefficient of variation (CV)-0.3209954943
Kurtosis3.609108333
Mean-0.8186435744
Median Absolute Deviation (MAD)0.001656745
Skewness1.781462408
Sum-6018.667559
Variance0.0690538008
MonotonicityNot monotonic
2025-03-02T10:03:53.464648image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998127 5
 
0.1%
-0.9999774 4
 
0.1%
-0.99997995 4
 
0.1%
-0.99997337 4
 
0.1%
-0.99998405 4
 
0.1%
-0.99996799 4
 
0.1%
-0.99998764 4
 
0.1%
-0.99997902 4
 
0.1%
-0.99998315 4
 
0.1%
-0.99996917 3
 
< 0.1%
Other values (6979) 7312
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999994 1
< 0.1%
-0.99999965 1
< 0.1%
-0.99999939 1
< 0.1%
-0.99999918 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.83395454 1
< 0.1%
0.78383063 1
< 0.1%
0.7462759 1
< 0.1%
0.66902958 1
< 0.1%
Distinct7180
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8838665497
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7319
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:53.511056image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999950538
Q1-0.99985898
median-0.99843084
Q3-0.83155643
95-th percentile-0.484915495
Maximum1
Range2
Interquartile range (IQR)0.16830255

Descriptive statistics

Standard deviation0.1907449647
Coefficient of variation (CV)-0.2158074256
Kurtosis8.737931956
Mean-0.8838665497
Median Absolute Deviation (MAD)0.001536275
Skewness2.493856121
Sum-6498.186874
Variance0.03638364156
MonotonicityNot monotonic
2025-03-02T10:03:53.557074image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99991158 4
 
0.1%
-0.99992501 3
 
< 0.1%
-0.99990963 3
 
< 0.1%
-0.99984841 3
 
< 0.1%
-0.99986765 3
 
< 0.1%
-0.99973857 3
 
< 0.1%
-0.99992891 2
 
< 0.1%
-0.9999266 2
 
< 0.1%
-0.999903 2
 
< 0.1%
-0.99993125 2
 
< 0.1%
Other values (7170) 7325
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999943 1
< 0.1%
-0.99999785 1
< 0.1%
-0.99999711 1
< 0.1%
-0.99999571 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.64082557 1
< 0.1%
0.61351481 1
< 0.1%
0.55513762 1
< 0.1%
0.51617983 1
< 0.1%
Distinct7293
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7873106307
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7258
Negative (%)98.7%
Memory size57.6 KiB
2025-03-02T10:03:53.603514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999935512
Q1-0.9995394725
median-0.985406275
Q3-0.6087127325
95-th percentile-0.2756227645
Maximum1
Range2
Interquartile range (IQR)0.39082674

Descriptive statistics

Standard deviation0.271330567
Coefficient of variation (CV)-0.3446296244
Kurtosis1.538201493
Mean-0.7873106307
Median Absolute Deviation (MAD)0.014555145
Skewness1.269622988
Sum-5788.307757
Variance0.07362027657
MonotonicityNot monotonic
2025-03-02T10:03:53.650631image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99991838 3
 
< 0.1%
-0.99989471 2
 
< 0.1%
-0.99992043 2
 
< 0.1%
-0.99992408 2
 
< 0.1%
-0.9998385 2
 
< 0.1%
-0.99988937 2
 
< 0.1%
-0.99905007 2
 
< 0.1%
-0.99990986 2
 
< 0.1%
-0.99972278 2
 
< 0.1%
-0.99983628 2
 
< 0.1%
Other values (7283) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999818 1
< 0.1%
-0.99999704 1
< 0.1%
-0.99999053 1
< 0.1%
-0.99999021 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.71641917 1
< 0.1%
0.58670969 1
< 0.1%
0.56666544 1
< 0.1%
0.55637943 1
< 0.1%
Distinct7179
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8454049043
Minimum-1
Maximum0.94996979
Zeros0
Zeros (%)0.0%
Negative7253
Negative (%)98.7%
Memory size57.6 KiB
2025-03-02T10:03:53.697249image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99995414
Q1-0.9998529525
median-0.997184915
Q3-0.762492835
95-th percentile-0.333856873
Maximum0.94996979
Range1.94996979
Interquartile range (IQR)0.2373601175

Descriptive statistics

Standard deviation0.2419435098
Coefficient of variation (CV)-0.2861865464
Kurtosis6.182850639
Mean-0.8454049043
Median Absolute Deviation (MAD)0.00278162
Skewness2.212521983
Sum-6215.416856
Variance0.05853666195
MonotonicityNot monotonic
2025-03-02T10:03:53.743532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99991555 3
 
< 0.1%
-0.99986376 3
 
< 0.1%
-0.99990178 3
 
< 0.1%
-0.99994459 3
 
< 0.1%
-0.99994124 3
 
< 0.1%
-0.99993546 3
 
< 0.1%
-0.99989982 3
 
< 0.1%
-0.99990871 3
 
< 0.1%
-0.9999686 3
 
< 0.1%
-0.99995695 3
 
< 0.1%
Other values (7169) 7322
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999924 1
< 0.1%
-0.99999684 1
< 0.1%
-0.99999594 1
< 0.1%
-0.99999457 1
< 0.1%
ValueCountFrequency (%)
0.94996979 1
< 0.1%
0.91774999 1
< 0.1%
0.83377328 1
< 0.1%
0.81889828 1
< 0.1%
0.75565049 1
< 0.1%
Distinct7224
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8615408117
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7318
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:03:53.790227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999937279
Q1-0.99983301
median-0.99757348
Q3-0.779173665
95-th percentile-0.396712286
Maximum1
Range2
Interquartile range (IQR)0.220659345

Descriptive statistics

Standard deviation0.2163319476
Coefficient of variation (CV)-0.2510988971
Kurtosis4.846187338
Mean-0.8615408117
Median Absolute Deviation (MAD)0.00237711
Skewness2.000577223
Sum-6334.048048
Variance0.04679951156
MonotonicityNot monotonic
2025-03-02T10:03:53.837162image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99987225 3
 
< 0.1%
-0.99991419 3
 
< 0.1%
-0.99991746 3
 
< 0.1%
-0.99982242 2
 
< 0.1%
-0.99979977 2
 
< 0.1%
-0.99995546 2
 
< 0.1%
-0.99991146 2
 
< 0.1%
-0.99979248 2
 
< 0.1%
-0.99993954 2
 
< 0.1%
-0.99994759 2
 
< 0.1%
Other values (7214) 7329
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999801 1
< 0.1%
-0.99999217 1
< 0.1%
-0.99999166 1
< 0.1%
-0.99998402 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.72904832 1
< 0.1%
0.70491021 1
< 0.1%
0.56463673 1
< 0.1%
0.494897 1
< 0.1%
Distinct7251
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9064241873
Minimum-1
Maximum0.95807252
Zeros0
Zeros (%)0.0%
Negative7332
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:03:53.883523image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999081845
Q1-0.9997672875
median-0.99743122
Q3-0.865095655
95-th percentile-0.598859836
Maximum0.95807252
Range1.95807252
Interquartile range (IQR)0.1346716325

Descriptive statistics

Standard deviation0.1563857118
Coefficient of variation (CV)-0.1725303825
Kurtosis13.11314782
Mean-0.9064241873
Median Absolute Deviation (MAD)0.0025013
Skewness2.856658035
Sum-6664.030625
Variance0.02445649084
MonotonicityNot monotonic
2025-03-02T10:03:53.929764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99974212 3
 
< 0.1%
-0.99980683 3
 
< 0.1%
-0.99988055 3
 
< 0.1%
-0.99985049 3
 
< 0.1%
-0.99985731 3
 
< 0.1%
-0.99974881 2
 
< 0.1%
-0.99983477 2
 
< 0.1%
-0.99969311 2
 
< 0.1%
-0.99981155 2
 
< 0.1%
-0.99986344 2
 
< 0.1%
Other values (7241) 7327
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999525 1
< 0.1%
-0.99999087 1
< 0.1%
-0.99998975 1
< 0.1%
-0.99998691 1
< 0.1%
ValueCountFrequency (%)
0.95807252 1
< 0.1%
0.77475032 1
< 0.1%
0.5711672 1
< 0.1%
0.2171947 1
< 0.1%
0.18361758 1
< 0.1%
Distinct7288
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8972888267
Minimum-1
Maximum0.84661001
Zeros0
Zeros (%)0.0%
Negative7318
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:03:53.975499image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999868636
Q1-0.9996523575
median-0.996412835
Q3-0.84744303
95-th percentile-0.571040688
Maximum0.84661001
Range1.84661001
Interquartile range (IQR)0.1522093275

Descriptive statistics

Standard deviation0.1740848246
Coefficient of variation (CV)-0.1940120276
Kurtosis16.07668868
Mean-0.8972888267
Median Absolute Deviation (MAD)0.00349004
Skewness3.187019129
Sum-6596.867454
Variance0.03030552615
MonotonicityNot monotonic
2025-03-02T10:03:54.020349image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99966237 2
 
< 0.1%
-0.99962091 2
 
< 0.1%
-0.99929063 2
 
< 0.1%
-0.99980361 2
 
< 0.1%
-0.9997995 2
 
< 0.1%
-0.99990196 2
 
< 0.1%
-0.99976053 2
 
< 0.1%
-0.99980645 2
 
< 0.1%
-0.99971724 2
 
< 0.1%
-0.99989735 2
 
< 0.1%
Other values (7278) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998445 1
< 0.1%
-0.99998022 1
< 0.1%
-0.99997285 1
< 0.1%
-0.99997206 1
< 0.1%
ValueCountFrequency (%)
0.84661001 1
< 0.1%
0.82157106 1
< 0.1%
0.79889015 1
< 0.1%
0.7587536 1
< 0.1%
0.73996805 1
< 0.1%
Distinct7279
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8816104255
Minimum-1
Maximum0.89774723
Zeros0
Zeros (%)0.0%
Negative7314
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:03:54.064543image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9998639925
Q1-0.9996248775
median-0.995514435
Q3-0.82078856
95-th percentile-0.5018327025
Maximum0.89774723
Range1.89774723
Interquartile range (IQR)0.1788363175

Descriptive statistics

Standard deviation0.1913137878
Coefficient of variation (CV)-0.2170049064
Kurtosis10.05070486
Mean-0.8816104255
Median Absolute Deviation (MAD)0.00439355
Skewness2.622204172
Sum-6481.599848
Variance0.03660096541
MonotonicityNot monotonic
2025-03-02T10:03:54.109895image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99983734 2
 
< 0.1%
-0.99972388 2
 
< 0.1%
-0.99986274 2
 
< 0.1%
-0.99980561 2
 
< 0.1%
-0.99971512 2
 
< 0.1%
-0.99980653 2
 
< 0.1%
-0.99977789 2
 
< 0.1%
-0.99959667 2
 
< 0.1%
-0.99958201 2
 
< 0.1%
-0.99986853 2
 
< 0.1%
Other values (7269) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999957 1
< 0.1%
-0.99999461 1
< 0.1%
-0.9999857 1
< 0.1%
-0.99998525 1
< 0.1%
ValueCountFrequency (%)
0.89774723 1
< 0.1%
0.84521839 1
< 0.1%
0.7132437 1
< 0.1%
0.68524111 1
< 0.1%
0.6462148 1
< 0.1%
Distinct7260
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9017133144
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7320
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:54.248766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999139835
Q1-0.9997229075
median-0.995551365
Q3-0.8629706625
95-th percentile-0.568257599
Maximum1
Range2
Interquartile range (IQR)0.136752245

Descriptive statistics

Standard deviation0.1693637244
Coefficient of variation (CV)-0.187824358
Kurtosis15.0697229
Mean-0.9017133144
Median Absolute Deviation (MAD)0.004394525
Skewness3.113929766
Sum-6629.396288
Variance0.02868407115
MonotonicityNot monotonic
2025-03-02T10:03:54.294844image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99968159 3
 
< 0.1%
-0.99988907 3
 
< 0.1%
-0.99983728 2
 
< 0.1%
-0.99981399 2
 
< 0.1%
-0.99983026 2
 
< 0.1%
-0.9999312 2
 
< 0.1%
-0.99987238 2
 
< 0.1%
-0.99990332 2
 
< 0.1%
-0.99975844 2
 
< 0.1%
-0.99951403 2
 
< 0.1%
Other values (7250) 7330
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999898 1
< 0.1%
-0.99999571 1
< 0.1%
-0.99999483 1
< 0.1%
-0.99999442 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89351543 1
< 0.1%
0.67970909 1
< 0.1%
0.54571302 1
< 0.1%
0.52802756 1
< 0.1%
Distinct6904
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9517097353
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7335
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:54.340303image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999978345
Q1-0.9999409925
median-0.998866535
Q3-0.96831287
95-th percentile-0.729313461
Maximum1
Range2
Interquartile range (IQR)0.0316281225

Descriptive statistics

Standard deviation0.1276155807
Coefficient of variation (CV)-0.134090864
Kurtosis46.76630612
Mean-0.9517097353
Median Absolute Deviation (MAD)0.001131505
Skewness5.539734706
Sum-6996.969974
Variance0.01628573644
MonotonicityNot monotonic
2025-03-02T10:03:54.387389image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999949 7
 
0.1%
-0.99999997 5
 
0.1%
-0.99999939 5
 
0.1%
-0.99999731 5
 
0.1%
-0.99999682 5
 
0.1%
-0.99999983 4
 
0.1%
-0.99999206 4
 
0.1%
-0.99999971 4
 
0.1%
-0.99999867 4
 
0.1%
-0.99999849 4
 
0.1%
Other values (6894) 7305
99.4%
ValueCountFrequency (%)
-1 2
 
< 0.1%
-0.99999999 1
 
< 0.1%
-0.99999998 2
 
< 0.1%
-0.99999997 5
0.1%
-0.99999996 1
 
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97991267 1
< 0.1%
0.96438647 1
< 0.1%
0.5067444 1
< 0.1%
0.41716561 1
< 0.1%
Distinct7287
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7575117498
Minimum-1
Maximum0.86657061
Zeros0
Zeros (%)0.0%
Negative7212
Negative (%)98.1%
Memory size57.6 KiB
2025-03-02T10:03:54.432494image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999926933
Q1-0.9995510825
median-0.98695727
Q3-0.544243965
95-th percentile-0.168692602
Maximum0.86657061
Range1.86657061
Interquartile range (IQR)0.4553071175

Descriptive statistics

Standard deviation0.3043396243
Coefficient of variation (CV)-0.4017622491
Kurtosis0.6469178931
Mean-0.7575117498
Median Absolute Deviation (MAD)0.012998275
Skewness1.104504226
Sum-5569.226385
Variance0.09262260695
MonotonicityNot monotonic
2025-03-02T10:03:54.476203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99988087 2
 
< 0.1%
-0.99994488 2
 
< 0.1%
-0.99976226 2
 
< 0.1%
-0.99975906 2
 
< 0.1%
-0.99994857 2
 
< 0.1%
-0.99996899 2
 
< 0.1%
-0.99989371 2
 
< 0.1%
-0.99989033 2
 
< 0.1%
-0.99982084 2
 
< 0.1%
-0.99995036 2
 
< 0.1%
Other values (7277) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999819 1
< 0.1%
-0.99998997 1
< 0.1%
-0.99998777 1
< 0.1%
-0.99998681 1
< 0.1%
ValueCountFrequency (%)
0.86657061 1
< 0.1%
0.73283104 1
< 0.1%
0.67108531 1
< 0.1%
0.67038798 1
< 0.1%
0.64590462 1
< 0.1%
Distinct7206
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8391677323
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7281
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:03:54.521516image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999908365
Q1-0.9997787725
median-0.996824105
Q3-0.736554055
95-th percentile-0.3204390045
Maximum1
Range2
Interquartile range (IQR)0.2632247175

Descriptive statistics

Standard deviation0.245225825
Coefficient of variation (CV)-0.292225041
Kurtosis4.050354394
Mean-0.8391677323
Median Absolute Deviation (MAD)0.0031024
Skewness1.881717159
Sum-6169.561168
Variance0.06013570524
MonotonicityNot monotonic
2025-03-02T10:03:54.567795image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99984141 4
 
0.1%
-0.99985481 3
 
< 0.1%
-0.99988512 3
 
< 0.1%
-0.99981911 3
 
< 0.1%
-0.9998394 2
 
< 0.1%
-1 2
 
< 0.1%
-0.99982959 2
 
< 0.1%
-0.99985865 2
 
< 0.1%
-0.9999011 2
 
< 0.1%
-0.99987557 2
 
< 0.1%
Other values (7196) 7327
99.7%
ValueCountFrequency (%)
-1 2
< 0.1%
-0.99998907 1
< 0.1%
-0.9999845 1
< 0.1%
-0.99998224 1
< 0.1%
-0.99997677 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.82483166 1
< 0.1%
0.76777148 1
< 0.1%
0.69687819 1
< 0.1%
0.68034514 1
< 0.1%
Distinct7280
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8795277361
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7311
Negative (%)99.4%
Memory size57.6 KiB
2025-03-02T10:03:54.613509image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9998637195
Q1-0.9996335625
median-0.99569557
Q3-0.813801765
95-th percentile-0.5038028985
Maximum1
Range2
Interquartile range (IQR)0.1858317975

Descriptive statistics

Standard deviation0.192299444
Coefficient of variation (CV)-0.2186394312
Kurtosis11.09430876
Mean-0.8795277361
Median Absolute Deviation (MAD)0.00420731
Skewness2.678887179
Sum-6466.287916
Variance0.03697907615
MonotonicityNot monotonic
2025-03-02T10:03:54.659432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99964747 3
 
< 0.1%
-0.99978031 2
 
< 0.1%
-0.99986268 2
 
< 0.1%
-0.99982864 2
 
< 0.1%
-0.99993073 2
 
< 0.1%
-0.99987553 2
 
< 0.1%
-0.99990655 2
 
< 0.1%
-0.99955226 2
 
< 0.1%
-0.99979569 2
 
< 0.1%
-0.9997293 2
 
< 0.1%
Other values (7270) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999203 1
< 0.1%
-0.99998041 1
< 0.1%
-0.99997913 1
< 0.1%
-0.99997762 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.80523337 1
< 0.1%
0.7723977 1
< 0.1%
0.7363808 1
< 0.1%
0.72116837 1
< 0.1%
Distinct7231
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9196205786
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7326
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:54.705611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999401545
Q1-0.9997949325
median-0.99583708
Q3-0.8960555225
95-th percentile-0.635370719
Maximum1
Range2
Interquartile range (IQR)0.10373941

Descriptive statistics

Standard deviation0.1497407869
Coefficient of variation (CV)-0.1628288779
Kurtosis23.0146931
Mean-0.9196205786
Median Absolute Deviation (MAD)0.004125915
Skewness3.80739352
Sum-6761.050494
Variance0.02242230328
MonotonicityNot monotonic
2025-03-02T10:03:54.751938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99977533 3
 
< 0.1%
-0.99992394 3
 
< 0.1%
-0.99994529 3
 
< 0.1%
-0.99981486 3
 
< 0.1%
-0.99989017 3
 
< 0.1%
-0.99971817 3
 
< 0.1%
-0.99993412 2
 
< 0.1%
-0.99991526 2
 
< 0.1%
-0.99991391 2
 
< 0.1%
-0.99985743 2
 
< 0.1%
Other values (7221) 7326
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999682 1
< 0.1%
-0.99999567 1
< 0.1%
-0.99999485 1
< 0.1%
-0.99999402 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86100525 1
< 0.1%
0.76185927 1
< 0.1%
0.50640018 1
< 0.1%
0.40208358 1
< 0.1%
Distinct7307
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7539734465
Minimum-0.99999419
Maximum0.8210904
Zeros0
Zeros (%)0.0%
Negative7217
Negative (%)98.2%
Memory size57.6 KiB
2025-03-02T10:03:54.796883image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999419
5-th percentile-0.999917004
Q1-0.99954724
median-0.987759405
Q3-0.534833135
95-th percentile-0.167609141
Maximum0.8210904
Range1.82108459
Interquartile range (IQR)0.464714105

Descriptive statistics

Standard deviation0.3063369285
Coefficient of variation (CV)-0.406296707
Kurtosis0.470360071
Mean-0.7539734465
Median Absolute Deviation (MAD)0.01218449
Skewness1.05540324
Sum-5543.212778
Variance0.09384231375
MonotonicityNot monotonic
2025-03-02T10:03:54.840822image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99976054 3
 
< 0.1%
-0.99975119 2
 
< 0.1%
-0.99968528 2
 
< 0.1%
-0.99996136 2
 
< 0.1%
-0.99992265 2
 
< 0.1%
-0.99992913 2
 
< 0.1%
-0.99975222 2
 
< 0.1%
-0.99993196 2
 
< 0.1%
-0.99990323 2
 
< 0.1%
-0.99994973 2
 
< 0.1%
Other values (7297) 7331
99.7%
ValueCountFrequency (%)
-0.99999419 1
< 0.1%
-0.99998993 1
< 0.1%
-0.9999815 1
< 0.1%
-0.99998058 1
< 0.1%
-0.99997969 1
< 0.1%
ValueCountFrequency (%)
0.8210904 1
< 0.1%
0.71682617 1
< 0.1%
0.68104707 1
< 0.1%
0.6670909 1
< 0.1%
0.60873966 1
< 0.1%
Distinct7256
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8933132702
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7325
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:54.886081image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9998951535
Q1-0.9997312375
median-0.99664515
Q3-0.8367518775
95-th percentile-0.5643049895
Maximum1
Range2
Interquartile range (IQR)0.16297936

Descriptive statistics

Standard deviation0.1691578155
Coefficient of variation (CV)-0.1893600164
Kurtosis10.40392085
Mean-0.8933132702
Median Absolute Deviation (MAD)0.00327974
Skewness2.564910726
Sum-6567.639162
Variance0.02861436656
MonotonicityNot monotonic
2025-03-02T10:03:54.933055image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99987283 3
 
< 0.1%
-0.99982199 3
 
< 0.1%
-0.99985882 3
 
< 0.1%
-0.99979693 3
 
< 0.1%
-0.99986365 3
 
< 0.1%
-0.99965666 2
 
< 0.1%
-0.99985619 2
 
< 0.1%
-0.99976836 2
 
< 0.1%
-0.999672 2
 
< 0.1%
-0.99959292 2
 
< 0.1%
Other values (7246) 7327
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999663 1
< 0.1%
-0.99999009 1
< 0.1%
-0.99998582 1
< 0.1%
-0.99998561 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.70620976 1
< 0.1%
0.54761801 1
< 0.1%
0.30701985 1
< 0.1%
0.29345786 1
< 0.1%
Distinct7316
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8479634549
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7264
Negative (%)98.8%
Memory size57.6 KiB
2025-03-02T10:03:54.978510image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9998844245
Q1-0.99947964
median-0.986582095
Q3-0.7645083
95-th percentile-0.4021156505
Maximum1
Range2
Interquartile range (IQR)0.23497134

Descriptive statistics

Standard deviation0.2336327976
Coefficient of variation (CV)-0.2755222483
Kurtosis9.883928291
Mean-0.8479634549
Median Absolute Deviation (MAD)0.01335101
Skewness2.594224396
Sum-6234.22732
Variance0.05458428409
MonotonicityNot monotonic
2025-03-02T10:03:55.024936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99985049 2
 
< 0.1%
-0.99973197 2
 
< 0.1%
-0.999896 2
 
< 0.1%
-0.99993341 2
 
< 0.1%
-0.9998324 2
 
< 0.1%
-0.99985441 2
 
< 0.1%
-0.9997816 2
 
< 0.1%
-0.99973507 2
 
< 0.1%
-0.99929245 2
 
< 0.1%
-0.99970571 2
 
< 0.1%
Other values (7306) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999931 1
< 0.1%
-0.99999865 1
< 0.1%
-0.99999679 1
< 0.1%
-0.99999552 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90835395 1
< 0.1%
0.89197119 1
< 0.1%
0.87085696 1
< 0.1%
0.82671618 1
< 0.1%
Distinct7262
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8953425253
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7314
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:03:55.070735image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999885007
Q1-0.9997159725
median-0.997149895
Q3-0.85237129
95-th percentile-0.5341791845
Maximum1
Range2
Interquartile range (IQR)0.1473446825

Descriptive statistics

Standard deviation0.1844983066
Coefficient of variation (CV)-0.2060644964
Kurtosis12.74017615
Mean-0.8953425253
Median Absolute Deviation (MAD)0.002770605
Skewness3.000246961
Sum-6582.558246
Variance0.03403962514
MonotonicityNot monotonic
2025-03-02T10:03:55.116816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99979754 3
 
< 0.1%
-0.99975661 3
 
< 0.1%
-0.99976164 2
 
< 0.1%
-0.99982247 2
 
< 0.1%
-0.99979562 2
 
< 0.1%
-0.99979674 2
 
< 0.1%
-0.9997963 2
 
< 0.1%
-0.99972872 2
 
< 0.1%
-0.99983915 2
 
< 0.1%
-0.99975063 2
 
< 0.1%
Other values (7252) 7330
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999752 1
< 0.1%
-0.99999062 1
< 0.1%
-0.99998821 1
< 0.1%
-0.99998123 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9018368 1
< 0.1%
0.77379586 1
< 0.1%
0.6011005 1
< 0.1%
0.52370157 1
< 0.1%
Distinct7237
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9218813586
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7322
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:55.162193image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999901136
Q1-0.9997619575
median-0.998433015
Q3-0.9031346575
95-th percentile-0.6541311355
Maximum1
Range2
Interquartile range (IQR)0.0966273

Descriptive statistics

Standard deviation0.1565289836
Coefficient of variation (CV)-0.1697929806
Kurtosis22.39214515
Mean-0.9218813586
Median Absolute Deviation (MAD)0.00149205
Skewness3.939577078
Sum-6777.671749
Variance0.02450132271
MonotonicityNot monotonic
2025-03-02T10:03:55.208717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99981769 3
 
< 0.1%
-0.99981556 2
 
< 0.1%
-0.99992162 2
 
< 0.1%
-0.99973707 2
 
< 0.1%
-0.99977472 2
 
< 0.1%
-0.99965115 2
 
< 0.1%
-0.99992656 2
 
< 0.1%
-0.9994637 2
 
< 0.1%
-0.99985941 2
 
< 0.1%
-0.99992261 2
 
< 0.1%
Other values (7227) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998436 1
< 0.1%
-0.99998288 1
< 0.1%
-0.99998098 1
< 0.1%
-0.99998056 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.74916081 1
< 0.1%
0.6836464 1
< 0.1%
0.5115424 1
< 0.1%
0.50909005 1
< 0.1%
Distinct7181
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9598468287
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7346
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:55.256190image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999912735
Q1-0.999805745
median-0.9987883
Q3-0.954340545
95-th percentile-0.8121947355
Maximum1
Range2
Interquartile range (IQR)0.0454652

Descriptive statistics

Standard deviation0.08820344024
Coefficient of variation (CV)-0.09189324546
Kurtosis66.54359831
Mean-0.9598468287
Median Absolute Deviation (MAD)0.00114304
Skewness5.90570462
Sum-7056.793884
Variance0.007779846869
MonotonicityNot monotonic
2025-03-02T10:03:55.303705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99985788 4
 
0.1%
-0.99988633 3
 
< 0.1%
-0.99983949 3
 
< 0.1%
-0.99983629 3
 
< 0.1%
-0.99972071 3
 
< 0.1%
-0.99983251 3
 
< 0.1%
-0.99989042 3
 
< 0.1%
-0.99989104 3
 
< 0.1%
-0.99985992 3
 
< 0.1%
-0.99987625 3
 
< 0.1%
Other values (7171) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999969 1
< 0.1%
-0.99999327 1
< 0.1%
-0.9999872 1
< 0.1%
-0.99998425 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.41810936 1
< 0.1%
0.074075747 1
< 0.1%
0.074052334 1
< 0.1%
0.045091499 1
< 0.1%
Distinct7235
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9615958376
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7346
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:55.349537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9998925715
Q1-0.999753855
median-0.998392785
Q3-0.953846815
95-th percentile-0.831007566
Maximum1
Range2
Interquartile range (IQR)0.04590704

Descriptive statistics

Standard deviation0.08460984787
Coefficient of variation (CV)-0.08798899139
Kurtosis104.7659401
Mean-0.9615958376
Median Absolute Deviation (MAD)0.001529675
Skewness7.314375202
Sum-7069.652598
Variance0.007158826357
MonotonicityNot monotonic
2025-03-02T10:03:55.396469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9998024 3
 
< 0.1%
-0.99969256 2
 
< 0.1%
-0.99951209 2
 
< 0.1%
-0.99977052 2
 
< 0.1%
-0.99978222 2
 
< 0.1%
-0.99974223 2
 
< 0.1%
-0.9993534 2
 
< 0.1%
-0.99974941 2
 
< 0.1%
-0.99982182 2
 
< 0.1%
-0.99965134 2
 
< 0.1%
Other values (7225) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999283 1
< 0.1%
-0.99999282 1
< 0.1%
-0.99998439 1
< 0.1%
-0.99998275 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89513313 1
< 0.1%
0.34432336 1
< 0.1%
0.24068904 1
< 0.1%
0.094865551 1
< 0.1%
Distinct7289
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9336635289
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7333
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:03:55.529514image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999798679
Q1-0.9995409875
median-0.996842475
Q3-0.9150541975
95-th percentile-0.7075167895
Maximum1
Range2
Interquartile range (IQR)0.08448679

Descriptive statistics

Standard deviation0.1288456164
Coefficient of variation (CV)-0.1380000529
Kurtosis33.69800304
Mean-0.9336635289
Median Absolute Deviation (MAD)0.002998105
Skewness4.482668819
Sum-6864.294265
Variance0.01660119286
MonotonicityNot monotonic
2025-03-02T10:03:55.575065image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99962538 2
 
< 0.1%
-0.99972151 2
 
< 0.1%
-0.99975503 2
 
< 0.1%
-0.99956004 2
 
< 0.1%
-0.999842 2
 
< 0.1%
-0.99950451 2
 
< 0.1%
-0.99947924 2
 
< 0.1%
-0.96855583 2
 
< 0.1%
-0.99911607 2
 
< 0.1%
-0.99958129 2
 
< 0.1%
Other values (7279) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998304 1
< 0.1%
-0.99996045 1
< 0.1%
-0.99994716 1
< 0.1%
-0.99994586 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.7216036 1
< 0.1%
0.71573582 1
< 0.1%
0.482297 1
< 0.1%
0.45454837 1
< 0.1%
Distinct7279
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9387987506
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7343
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:55.621113image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9998602175
Q1-0.999599875
median-0.996050055
Q3-0.9234938425
95-th percentile-0.7299961105
Maximum1
Range2
Interquartile range (IQR)0.0761060325

Descriptive statistics

Standard deviation0.1185981036
Coefficient of variation (CV)-0.1263296351
Kurtosis31.64171591
Mean-0.9387987506
Median Absolute Deviation (MAD)0.0038545
Skewness4.304219445
Sum-6902.048414
Variance0.01406551019
MonotonicityNot monotonic
2025-03-02T10:03:55.667051image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99966062 3
 
< 0.1%
-0.99946657 2
 
< 0.1%
-0.99984297 2
 
< 0.1%
-0.9997896 2
 
< 0.1%
-0.99947507 2
 
< 0.1%
-0.99978408 2
 
< 0.1%
-0.99984595 2
 
< 0.1%
-0.99885815 2
 
< 0.1%
-0.99966406 2
 
< 0.1%
-0.99846775 2
 
< 0.1%
Other values (7269) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999005 1
< 0.1%
-0.99998302 1
< 0.1%
-0.99998262 1
< 0.1%
-0.99997967 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.55669993 1
< 0.1%
0.39697822 1
< 0.1%
0.35844773 1
< 0.1%
0.26467114 1
< 0.1%
Distinct7090
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9558911813
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7332
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:03:55.714049image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999952335
Q1-0.99989515
median-0.99858981
Q3-0.971796335
95-th percentile-0.7653175985
Maximum1
Range2
Interquartile range (IQR)0.028098815

Descriptive statistics

Standard deviation0.1227213673
Coefficient of variation (CV)-0.1283842447
Kurtosis53.6547472
Mean-0.9558911813
Median Absolute Deviation (MAD)0.00140454
Skewness6.049122633
Sum-7027.711965
Variance0.01506053399
MonotonicityNot monotonic
2025-03-02T10:03:55.761415image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999978 5
 
0.1%
-0.99999933 5
 
0.1%
-0.99998644 4
 
0.1%
-0.99999939 4
 
0.1%
-0.99999882 4
 
0.1%
-0.99998738 3
 
< 0.1%
-0.99999959 3
 
< 0.1%
-0.99999925 3
 
< 0.1%
-0.99996765 3
 
< 0.1%
-0.99998813 3
 
< 0.1%
Other values (7080) 7315
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999999 1
< 0.1%
-0.99999998 1
< 0.1%
-0.99999997 1
< 0.1%
-0.99999995 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94325778 1
< 0.1%
0.68136368 1
< 0.1%
0.66612041 1
< 0.1%
0.49251935 1
< 0.1%
Distinct7300
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8447443416
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7270
Negative (%)98.9%
Memory size57.6 KiB
2025-03-02T10:03:55.808587image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9998777485
Q1-0.999511695
median-0.988002385
Q3-0.749831895
95-th percentile-0.405032654
Maximum1
Range2
Interquartile range (IQR)0.2496798

Descriptive statistics

Standard deviation0.2284567673
Coefficient of variation (CV)-0.2704448624
Kurtosis8.342344447
Mean-0.8447443416
Median Absolute Deviation (MAD)0.011918855
Skewness2.350365932
Sum-6210.5604
Variance0.05219249451
MonotonicityNot monotonic
2025-03-02T10:03:55.854794image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99987464 3
 
< 0.1%
-0.99975198 2
 
< 0.1%
-0.99987275 2
 
< 0.1%
-0.99973318 2
 
< 0.1%
-0.99936771 2
 
< 0.1%
-0.99955901 2
 
< 0.1%
-0.99992711 2
 
< 0.1%
-0.99988344 2
 
< 0.1%
-0.99991571 2
 
< 0.1%
-0.99993657 2
 
< 0.1%
Other values (7290) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999637 1
< 0.1%
-0.99999325 1
< 0.1%
-0.9999892 1
< 0.1%
-0.99998049 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87456549 1
< 0.1%
0.76844613 1
< 0.1%
0.75631228 1
< 0.1%
0.72924363 1
< 0.1%
Distinct7205
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9356668839
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7340
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:55.900698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999213155
Q1-0.999809875
median-0.99858605
Q3-0.91764302
95-th percentile-0.714947721
Maximum1
Range2
Interquartile range (IQR)0.082166855

Descriptive statistics

Standard deviation0.1262936408
Coefficient of variation (CV)-0.1349771408
Kurtosis24.44656236
Mean-0.9356668839
Median Absolute Deviation (MAD)0.00135949
Skewness3.93029227
Sum-6879.022931
Variance0.0159500837
MonotonicityNot monotonic
2025-03-02T10:03:55.946561image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99985316 3
 
< 0.1%
-0.99992359 3
 
< 0.1%
-0.99994963 3
 
< 0.1%
-0.99987488 3
 
< 0.1%
-0.99963525 2
 
< 0.1%
-0.9998503 2
 
< 0.1%
-0.99987101 2
 
< 0.1%
-0.99985247 2
 
< 0.1%
-0.99978923 2
 
< 0.1%
-0.99987951 2
 
< 0.1%
Other values (7195) 7328
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999849 1
< 0.1%
-0.99999564 1
< 0.1%
-0.99999543 1
< 0.1%
-0.99999459 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.46607762 1
< 0.1%
0.17981091 1
< 0.1%
0.1634045 1
< 0.1%
0.14090833 1
< 0.1%
Distinct7243
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9516504281
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7345
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:55.993017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99988143
Q1-0.999722165
median-0.997915615
Q3-0.9386484025
95-th percentile-0.790501886
Maximum1
Range2
Interquartile range (IQR)0.0610737625

Descriptive statistics

Standard deviation0.09843105811
Coefficient of variation (CV)-0.1034319485
Kurtosis66.96313319
Mean-0.9516504281
Median Absolute Deviation (MAD)0.001996715
Skewness5.877320016
Sum-6996.533948
Variance0.0096886732
MonotonicityNot monotonic
2025-03-02T10:03:56.039965image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99973342 3
 
< 0.1%
-0.9997566 3
 
< 0.1%
-0.99967648 3
 
< 0.1%
-0.99968265 2
 
< 0.1%
-0.99983049 2
 
< 0.1%
-0.99976287 2
 
< 0.1%
-0.99975635 2
 
< 0.1%
-0.99966176 2
 
< 0.1%
-0.99983061 2
 
< 0.1%
-0.99965569 2
 
< 0.1%
Other values (7233) 7329
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999216 1
< 0.1%
-0.99999176 1
< 0.1%
-0.99999055 1
< 0.1%
-0.99998976 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98291032 1
< 0.1%
0.34090868 1
< 0.1%
0.27736819 1
< 0.1%
0.14859925 1
< 0.1%
Distinct7277
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9434119412
Minimum-0.99999706
Maximum1
Zeros0
Zeros (%)0.0%
Negative7342
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:56.085899image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999706
5-th percentile-0.9998970535
Q1-0.9996778
median-0.9958812
Q3-0.932013765
95-th percentile-0.7492638695
Maximum1
Range1.99999706
Interquartile range (IQR)0.067664035

Descriptive statistics

Standard deviation0.1142239962
Coefficient of variation (CV)-0.1210754191
Kurtosis37.58295983
Mean-0.9434119412
Median Absolute Deviation (MAD)0.00404793
Skewness4.719046655
Sum-6935.964592
Variance0.0130471213
MonotonicityNot monotonic
2025-03-02T10:03:56.133363image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99985134 3
 
< 0.1%
-0.99975079 2
 
< 0.1%
-0.99981455 2
 
< 0.1%
-0.99991436 2
 
< 0.1%
-0.99945569 2
 
< 0.1%
-0.99981785 2
 
< 0.1%
-0.99978993 2
 
< 0.1%
-0.99980837 2
 
< 0.1%
-0.99971052 2
 
< 0.1%
-0.99982826 2
 
< 0.1%
Other values (7267) 7331
99.7%
ValueCountFrequency (%)
-0.99999706 1
< 0.1%
-0.99999422 1
< 0.1%
-0.99999275 1
< 0.1%
-0.9999911 1
< 0.1%
-0.99999018 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.60274846 1
< 0.1%
0.28338308 1
< 0.1%
0.26577976 1
< 0.1%
0.25661468 1
< 0.1%
Distinct7301
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8340757741
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7262
Negative (%)98.8%
Memory size57.6 KiB
2025-03-02T10:03:56.180280image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999863874
Q1-0.9994919975
median-0.988055195
Q3-0.7292444425
95-th percentile-0.3683704775
Maximum1
Range2
Interquartile range (IQR)0.270247555

Descriptive statistics

Standard deviation0.2393821532
Coefficient of variation (CV)-0.2870028847
Kurtosis6.684098327
Mean-0.8340757741
Median Absolute Deviation (MAD)0.01185584
Skewness2.15306326
Sum-6132.125092
Variance0.05730381529
MonotonicityNot monotonic
2025-03-02T10:03:56.227098image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99986139 3
 
< 0.1%
-0.99980031 2
 
< 0.1%
-0.99980346 2
 
< 0.1%
-0.99967287 2
 
< 0.1%
-0.9997163 2
 
< 0.1%
-0.99865052 2
 
< 0.1%
-0.9988977 2
 
< 0.1%
-0.99988599 2
 
< 0.1%
-0.99981508 2
 
< 0.1%
-0.99982013 2
 
< 0.1%
Other values (7291) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999966 1
< 0.1%
-0.99998945 1
< 0.1%
-0.99998814 1
< 0.1%
-0.9999782 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86457077 1
< 0.1%
0.79212015 1
< 0.1%
0.74440314 1
< 0.1%
0.72178384 1
< 0.1%
Distinct7186
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9575259803
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:56.273157image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999040605
Q1-0.9997963125
median-0.998538
Q3-0.947403
95-th percentile-0.8082532025
Maximum1
Range2
Interquartile range (IQR)0.0523933125

Descriptive statistics

Standard deviation0.08845579933
Coefficient of variation (CV)-0.09237952928
Kurtosis67.34536919
Mean-0.9575259803
Median Absolute Deviation (MAD)0.00138732
Skewness5.790961206
Sum-7039.731007
Variance0.007824428435
MonotonicityNot monotonic
2025-03-02T10:03:56.321679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99983306 3
 
< 0.1%
-0.99990239 3
 
< 0.1%
-0.99983108 3
 
< 0.1%
-0.99989534 3
 
< 0.1%
-0.99978469 3
 
< 0.1%
-0.9998478 3
 
< 0.1%
-0.99984616 3
 
< 0.1%
-0.99981882 2
 
< 0.1%
-0.99989427 2
 
< 0.1%
-0.99989784 2
 
< 0.1%
Other values (7176) 7325
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998468 1
< 0.1%
-0.99998433 1
< 0.1%
-0.99998388 1
< 0.1%
-0.99998228 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.57916241 1
< 0.1%
0.15014099 1
< 0.1%
0.041814033 1
< 0.1%
0.010537384 1
< 0.1%

fBodyAccJerk-mean()-X
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.659582568
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6877
Negative (%)93.5%
Memory size57.6 KiB
2025-03-02T10:03:56.369370image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9963923155
Q1-0.991788525
median-0.958818005
Q3-0.32484464
95-th percentile0.0332486305
Maximum1
Range2
Interquartile range (IQR)0.666943885

Descriptive statistics

Standard deviation0.3937179269
Coefficient of variation (CV)-0.596919849
Kurtosis-0.7375778846
Mean-0.659582568
Median Absolute Deviation (MAD)0.03797019
Skewness0.7290383819
Sum-4849.25104
Variance0.155013806
MonotonicityNot monotonic
2025-03-02T10:03:56.417320image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99525914 2
 
< 0.1%
-0.99459755 2
 
< 0.1%
-0.98748017 2
 
< 0.1%
-0.99006119 2
 
< 0.1%
-0.99233245 1
 
< 0.1%
-0.98383023 1
 
< 0.1%
-0.97469596 1
 
< 0.1%
-0.96438182 1
 
< 0.1%
-0.96811196 1
 
< 0.1%
-0.9824707 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999752 1
< 0.1%
-0.99977578 1
< 0.1%
-0.99953805 1
< 0.1%
-0.99949846 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.74716098 1
< 0.1%
0.7377736 1
< 0.1%
0.66312821 1
< 0.1%
0.66196049 1
< 0.1%

fBodyAccJerk-mean()-Y
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6318826114
Minimum-1
Maximum0.64680948
Zeros0
Zeros (%)0.0%
Negative6773
Negative (%)92.1%
Memory size57.6 KiB
2025-03-02T10:03:56.462904image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9926271865
Q1-0.985888145
median-0.932631025
Q3-0.259721245
95-th percentile0.07056874915
Maximum0.64680948
Range1.64680948
Interquartile range (IQR)0.7261669

Descriptive statistics

Standard deviation0.4076909727
Coefficient of variation (CV)-0.6452004934
Kurtosis-1.07642194
Mean-0.6318826114
Median Absolute Deviation (MAD)0.06047615
Skewness0.6188366563
Sum-4645.600959
Variance0.1662119292
MonotonicityNot monotonic
2025-03-02T10:03:56.509686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98918824 2
 
< 0.1%
-0.99233359 2
 
< 0.1%
-0.98716991 1
 
< 0.1%
-0.96415151 1
 
< 0.1%
-0.95711486 1
 
< 0.1%
-0.94696771 1
 
< 0.1%
-0.94953976 1
 
< 0.1%
-0.9555991 1
 
< 0.1%
-0.97088895 1
 
< 0.1%
-0.97886242 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9975741 1
< 0.1%
-0.99754014 1
< 0.1%
-0.99747001 1
< 0.1%
-0.99740698 1
< 0.1%
ValueCountFrequency (%)
0.64680948 1
< 0.1%
0.619104 1
< 0.1%
0.61355528 1
< 0.1%
0.61345797 1
< 0.1%
0.60996161 1
< 0.1%

fBodyAccJerk-mean()-Z
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7411120996
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7172
Negative (%)97.6%
Memory size57.6 KiB
2025-03-02T10:03:56.555144image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9932133665
Q1-0.9877717075
median-0.95310992
Q3-0.50824673
95-th percentile-0.1656522095
Maximum1
Range2
Interquartile range (IQR)0.4795249775

Descriptive statistics

Standard deviation0.3079427779
Coefficient of variation (CV)-0.4155144384
Kurtosis0.7021216589
Mean-0.7411120996
Median Absolute Deviation (MAD)0.04073105
Skewness1.113994315
Sum-5448.656156
Variance0.09482875445
MonotonicityNot monotonic
2025-03-02T10:03:56.602920image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99057726 2
 
< 0.1%
-0.99041926 2
 
< 0.1%
-0.99186953 2
 
< 0.1%
-0.98969609 1
 
< 0.1%
-0.94277923 1
 
< 0.1%
-0.9484659 1
 
< 0.1%
-0.93649976 1
 
< 0.1%
-0.94077855 1
 
< 0.1%
-0.97445198 1
 
< 0.1%
-0.97241934 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99957492 1
< 0.1%
-0.99928299 1
< 0.1%
-0.99923149 1
< 0.1%
-0.99899743 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.73267188 1
< 0.1%
0.71141749 1
< 0.1%
0.68635576 1
< 0.1%
0.61038857 1
< 0.1%

fBodyAccJerk-std()-X
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.659315818
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6883
Negative (%)93.6%
Memory size57.6 KiB
2025-03-02T10:03:56.648531image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9966812135
Q1-0.99239692
median-0.962668385
Q3-0.32206504
95-th percentile0.042734509
Maximum1
Range2
Interquartile range (IQR)0.67033188

Descriptive statistics

Standard deviation0.395445085
Coefficient of variation (CV)-0.5997809763
Kurtosis-0.7753314484
Mean-0.659315818
Median Absolute Deviation (MAD)0.034307835
Skewness0.719012088
Sum-4847.289894
Variance0.1563768152
MonotonicityNot monotonic
2025-03-02T10:03:56.696616image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99440978 2
 
< 0.1%
-0.99555718 2
 
< 0.1%
-0.9879221 2
 
< 0.1%
-0.99582068 1
 
< 0.1%
-0.98551279 1
 
< 0.1%
-0.98231272 1
 
< 0.1%
-0.97156311 1
 
< 0.1%
-0.96824012 1
 
< 0.1%
-0.9789119 1
 
< 0.1%
-0.98486672 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999041 1
< 0.1%
-0.99964348 1
< 0.1%
-0.99946521 1
< 0.1%
-0.99937784 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92838862 1
< 0.1%
0.81599993 1
< 0.1%
0.72673683 1
< 0.1%
0.69886097 1
< 0.1%

fBodyAccJerk-std()-Y
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6144916806
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6533
Negative (%)88.9%
Memory size57.6 KiB
2025-03-02T10:03:56.832912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9935080425
Q1-0.98730457
median-0.936334485
Q3-0.2337522875
95-th percentile0.1419803015
Maximum1
Range2
Interquartile range (IQR)0.7535522825

Descriptive statistics

Standard deviation0.4347028818
Coefficient of variation (CV)-0.7074186608
Kurtosis-0.9432881619
Mean-0.6144916806
Median Absolute Deviation (MAD)0.057673025
Skewness0.6734145667
Sum-4517.742836
Variance0.1889665954
MonotonicityNot monotonic
2025-03-02T10:03:56.880620image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99087064 2
 
< 0.1%
-0.98533445 2
 
< 0.1%
-0.98761657 2
 
< 0.1%
-0.98668264 2
 
< 0.1%
-0.96221769 1
 
< 0.1%
-0.98898571 1
 
< 0.1%
-0.98551075 1
 
< 0.1%
-0.98585578 1
 
< 0.1%
-0.97829122 1
 
< 0.1%
-0.99093631 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99876192 1
< 0.1%
-0.99830334 1
< 0.1%
-0.9981595 1
< 0.1%
-0.99807818 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.84483507 1
< 0.1%
0.78690148 1
< 0.1%
0.71245329 1
< 0.1%
0.70681162 1
< 0.1%

fBodyAccJerk-std()-Z
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7787520524
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7264
Negative (%)98.8%
Memory size57.6 KiB
2025-03-02T10:03:56.927246image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9944951475
Q1-0.989860585
median-0.96371246
Q3-0.5865671175
95-th percentile-0.277455568
Maximum1
Range2
Interquartile range (IQR)0.4032934675

Descriptive statistics

Standard deviation0.2682967535
Coefficient of variation (CV)-0.3445214079
Kurtosis0.9797523357
Mean-0.7787520524
Median Absolute Deviation (MAD)0.031306925
Skewness1.183679237
Sum-5725.385089
Variance0.07198314795
MonotonicityNot monotonic
2025-03-02T10:03:56.975057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99495834 2
 
< 0.1%
-0.98902579 2
 
< 0.1%
-0.99382805 2
 
< 0.1%
-0.99047179 2
 
< 0.1%
-0.99435205 2
 
< 0.1%
-0.98076403 1
 
< 0.1%
-0.98125504 1
 
< 0.1%
-0.97688185 1
 
< 0.1%
-0.97831502 1
 
< 0.1%
-0.98992872 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99966175 1
< 0.1%
-0.99952729 1
< 0.1%
-0.9993676 1
< 0.1%
-0.99903482 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89148373 1
< 0.1%
0.37764532 1
< 0.1%
0.36444664 1
< 0.1%
0.31613664 1
< 0.1%

fBodyAccJerk-mad()-X
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.600012322
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6373
Negative (%)86.7%
Memory size57.6 KiB
2025-03-02T10:03:57.021115image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995509891
Q1-0.990202935
median-0.952922225
Q3-0.20152828
95-th percentile0.210405102
Maximum1
Range2
Interquartile range (IQR)0.788674655

Descriptive statistics

Standard deviation0.4619518025
Coefficient of variation (CV)-0.7699038596
Kurtosis-0.8223305429
Mean-0.600012322
Median Absolute Deviation (MAD)0.04298797
Skewness0.7086061034
Sum-4411.290591
Variance0.2133994679
MonotonicityNot monotonic
2025-03-02T10:03:57.068537image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98955543 2
 
< 0.1%
-0.99352108 2
 
< 0.1%
-0.99603593 2
 
< 0.1%
-0.97203992 2
 
< 0.1%
-0.98136778 1
 
< 0.1%
-0.98858939 1
 
< 0.1%
-0.99123345 1
 
< 0.1%
-0.99142657 1
 
< 0.1%
-0.9954738 1
 
< 0.1%
-0.99076465 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99957774 1
< 0.1%
-0.99906272 1
< 0.1%
-0.99901626 1
< 0.1%
-0.99880535 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98753271 1
< 0.1%
0.94189188 1
< 0.1%
0.92002916 1
< 0.1%
0.91937005 1
< 0.1%

fBodyAccJerk-mad()-Y
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6273463546
Minimum-1
Maximum0.80506356
Zeros0
Zeros (%)0.0%
Negative6736
Negative (%)91.6%
Memory size57.6 KiB
2025-03-02T10:03:57.112997image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9936347675
Q1-0.987391315
median-0.936799365
Q3-0.2520564775
95-th percentile0.0984685667
Maximum0.80506356
Range1.80506356
Interquartile range (IQR)0.7353348375

Descriptive statistics

Standard deviation0.4172193626
Coefficient of variation (CV)-0.6650542552
Kurtosis-1.013546211
Mean-0.6273463546
Median Absolute Deviation (MAD)0.05731701
Skewness0.644523845
Sum-4612.250399
Variance0.1740719965
MonotonicityNot monotonic
2025-03-02T10:03:57.159164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9871896 2
 
< 0.1%
-0.97536069 2
 
< 0.1%
-0.98867901 2
 
< 0.1%
-0.99051869 1
 
< 0.1%
-0.97258696 1
 
< 0.1%
-0.96386716 1
 
< 0.1%
-0.94629557 1
 
< 0.1%
-0.95133796 1
 
< 0.1%
-0.96093739 1
 
< 0.1%
-0.97780045 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9991501 1
< 0.1%
-0.99882026 1
< 0.1%
-0.99875675 1
< 0.1%
-0.99861555 1
< 0.1%
ValueCountFrequency (%)
0.80506356 1
< 0.1%
0.75936248 1
< 0.1%
0.67861008 1
< 0.1%
0.62740317 1
< 0.1%
0.60734437 1
< 0.1%

fBodyAccJerk-mad()-Z
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7624893588
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7227
Negative (%)98.3%
Memory size57.6 KiB
2025-03-02T10:03:57.205967image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9939326955
Q1-0.988842145
median-0.9591394
Q3-0.5535353325
95-th percentile-0.222115199
Maximum1
Range2
Interquartile range (IQR)0.4353068125

Descriptive statistics

Standard deviation0.2854709626
Coefficient of variation (CV)-0.3743933726
Kurtosis0.7589831732
Mean-0.7624893588
Median Absolute Deviation (MAD)0.03530665
Skewness1.139726111
Sum-5605.821766
Variance0.08149367049
MonotonicityNot monotonic
2025-03-02T10:03:57.253611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9884146 2
 
< 0.1%
-0.99465124 2
 
< 0.1%
-0.99189412 2
 
< 0.1%
-0.97849186 1
 
< 0.1%
-0.95256493 1
 
< 0.1%
-0.97873207 1
 
< 0.1%
-0.97689128 1
 
< 0.1%
-0.97871034 1
 
< 0.1%
-0.98903702 1
 
< 0.1%
-0.98121901 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99966194 1
< 0.1%
-0.99957241 1
< 0.1%
-0.99935961 1
< 0.1%
-0.9992208 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.74388714 1
< 0.1%
0.56400555 1
< 0.1%
0.4513461 1
< 0.1%
0.44960254 1
< 0.1%

fBodyAccJerk-max()-X
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7147131255
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7102
Negative (%)96.6%
Memory size57.6 KiB
2025-03-02T10:03:57.299081image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.997488026
Q1-0.9939191875
median-0.97188459
Q3-0.4458561325
95-th percentile-0.0852066624
Maximum1
Range2
Interquartile range (IQR)0.548063055

Descriptive statistics

Standard deviation0.3409812129
Coefficient of variation (CV)-0.47708822
Kurtosis-0.1768872424
Mean-0.7147131255
Median Absolute Deviation (MAD)0.02588842
Skewness0.8896365659
Sum-5254.570899
Variance0.1162681875
MonotonicityNot monotonic
2025-03-02T10:03:57.346052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99539549 2
 
< 0.1%
-0.99378461 2
 
< 0.1%
-0.99595417 2
 
< 0.1%
-0.99498318 2
 
< 0.1%
-0.99511353 1
 
< 0.1%
-0.99213382 1
 
< 0.1%
-0.98721178 1
 
< 0.1%
-0.99006665 1
 
< 0.1%
-0.9866038 1
 
< 0.1%
-0.97162215 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999673 1
< 0.1%
-0.99998725 1
< 0.1%
-0.99997576 1
< 0.1%
-0.99982138 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92044461 1
< 0.1%
0.79236965 1
< 0.1%
0.73550471 1
< 0.1%
0.67037842 1
< 0.1%

fBodyAccJerk-max()-Y
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6811083955
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7001
Negative (%)95.2%
Memory size57.6 KiB
2025-03-02T10:03:57.392592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9941435835
Q1-0.9886812425
median-0.94845231
Q3-0.386777405
95-th percentile-0.00897785521
Maximum1
Range2
Interquartile range (IQR)0.6019038375

Descriptive statistics

Standard deviation0.3704386167
Coefficient of variation (CV)-0.5438761571
Kurtosis-0.2006068587
Mean-0.6811083955
Median Absolute Deviation (MAD)0.046110915
Skewness0.8808580542
Sum-5007.508923
Variance0.1372247687
MonotonicityNot monotonic
2025-03-02T10:03:57.440646image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99310069 2
 
< 0.1%
-0.99197516 1
 
< 0.1%
-0.97813207 1
 
< 0.1%
-0.97199253 1
 
< 0.1%
-0.96140019 1
 
< 0.1%
-0.95786045 1
 
< 0.1%
-0.94360767 1
 
< 0.1%
-0.97402953 1
 
< 0.1%
-0.98335448 1
 
< 0.1%
-0.98755983 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99817452 1
< 0.1%
-0.99805282 1
< 0.1%
-0.99801649 1
< 0.1%
-0.99794587 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99505937 1
< 0.1%
0.95079442 1
< 0.1%
0.86227283 1
< 0.1%
0.81752833 1
< 0.1%

fBodyAccJerk-max()-Z
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7981953799
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7265
Negative (%)98.8%
Memory size57.6 KiB
2025-03-02T10:03:57.486475image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9947289775
Q1-0.99013842
median-0.96589428
Q3-0.636670535
95-th percentile-0.3194220245
Maximum1
Range2
Interquartile range (IQR)0.353467885

Descriptive statistics

Standard deviation0.2530081693
Coefficient of variation (CV)-0.3169752365
Kurtosis2.745378203
Mean-0.7981953799
Median Absolute Deviation (MAD)0.029296725
Skewness1.493478147
Sum-5868.332433
Variance0.06401313372
MonotonicityNot monotonic
2025-03-02T10:03:57.534381image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.76078241 2
 
< 0.1%
-0.99153063 2
 
< 0.1%
-0.98954734 2
 
< 0.1%
-0.99407056 2
 
< 0.1%
-0.99324167 1
 
< 0.1%
-0.9886558 1
 
< 0.1%
-0.96083256 1
 
< 0.1%
-0.93375002 1
 
< 0.1%
-0.96417456 1
 
< 0.1%
-0.98039592 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99980323 1
< 0.1%
-0.99886581 1
< 0.1%
-0.99848212 1
< 0.1%
-0.99844812 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98636822 1
< 0.1%
0.78399117 1
< 0.1%
0.58198691 1
< 0.1%
0.55630362 1
< 0.1%

fBodyAccJerk-min()-X
Real number (ℝ)

Distinct7344
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8819590684
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7320
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:57.580258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999054467
Q1-0.9951874725
median-0.98426459
Q3-0.8322006025
95-th percentile-0.48192628
Maximum1
Range2
Interquartile range (IQR)0.16298687

Descriptive statistics

Standard deviation0.1909890225
Coefficient of variation (CV)-0.2165508915
Kurtosis8.567667022
Mean-0.8819590684
Median Absolute Deviation (MAD)0.014532075
Skewness2.50055525
Sum-6484.163071
Variance0.03647680671
MonotonicityNot monotonic
2025-03-02T10:03:57.626603image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99539435 2
 
< 0.1%
-0.99099316 2
 
< 0.1%
-0.9981482 2
 
< 0.1%
-0.99280746 2
 
< 0.1%
-0.99472674 2
 
< 0.1%
-0.99956915 2
 
< 0.1%
-0.99709868 2
 
< 0.1%
-0.99723785 2
 
< 0.1%
-0.98346924 1
 
< 0.1%
-0.99601557 1
 
< 0.1%
Other values (7334) 7334
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998948 1
< 0.1%
-0.99998788 1
< 0.1%
-0.99998786 1
< 0.1%
-0.99998526 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.77485807 1
< 0.1%
0.65456683 1
< 0.1%
0.50781676 1
< 0.1%
0.48089848 1
< 0.1%

fBodyAccJerk-min()-Y
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8614717725
Minimum-0.99999774
Maximum1
Zeros0
Zeros (%)0.0%
Negative7294
Negative (%)99.2%
Memory size57.6 KiB
2025-03-02T10:03:57.672225image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999774
5-th percentile-0.998306231
Q1-0.991579895
median-0.971923705
Q3-0.8023106025
95-th percentile-0.4154276905
Maximum1
Range1.99999774
Interquartile range (IQR)0.1892692925

Descriptive statistics

Standard deviation0.2139428486
Coefficient of variation (CV)-0.2483457444
Kurtosis7.566275163
Mean-0.8614717725
Median Absolute Deviation (MAD)0.025442205
Skewness2.411367076
Sum-6333.540472
Variance0.04577154248
MonotonicityNot monotonic
2025-03-02T10:03:57.718890image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99440019 2
 
< 0.1%
-0.99473986 2
 
< 0.1%
-0.99187613 2
 
< 0.1%
-0.99110842 1
 
< 0.1%
-0.98812994 1
 
< 0.1%
-0.98996963 1
 
< 0.1%
-0.96642977 1
 
< 0.1%
-0.99630553 1
 
< 0.1%
-0.94863246 1
 
< 0.1%
-0.95104346 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-0.99999774 1
< 0.1%
-0.99999737 1
< 0.1%
-0.99999726 1
< 0.1%
-0.99999592 1
< 0.1%
-0.99999452 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93358012 1
< 0.1%
0.74237336 1
< 0.1%
0.62467765 1
< 0.1%
0.57614364 1
< 0.1%

fBodyAccJerk-min()-Z
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8828429336
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7319
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:57.764877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9977924435
Q1-0.9893247725
median-0.97022331
Q3-0.8429264325
95-th percentile-0.506337266
Maximum1
Range2
Interquartile range (IQR)0.14639834

Descriptive statistics

Standard deviation0.1846581597
Coefficient of variation (CV)-0.2091630942
Kurtosis11.72634406
Mean-0.8828429336
Median Absolute Deviation (MAD)0.02550524
Skewness2.867602778
Sum-6490.661248
Variance0.03409863594
MonotonicityNot monotonic
2025-03-02T10:03:57.811169image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98893536 2
 
< 0.1%
-0.98665251 2
 
< 0.1%
-0.99679106 2
 
< 0.1%
-0.99616237 2
 
< 0.1%
-0.97988529 1
 
< 0.1%
-0.98105668 1
 
< 0.1%
-0.96481585 1
 
< 0.1%
-0.96751642 1
 
< 0.1%
-0.98195589 1
 
< 0.1%
-0.95988537 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999433 1
< 0.1%
-0.99998184 1
< 0.1%
-0.99996752 1
< 0.1%
-0.99994854 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.80385973 1
< 0.1%
0.6298199 1
< 0.1%
0.62876808 1
< 0.1%
0.62177563 1
< 0.1%

fBodyAccJerk-sma()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6215966372
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6690
Negative (%)91.0%
Memory size57.6 KiB
2025-03-02T10:03:57.856855image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9944674475
Q1-0.9890966625
median-0.942520215
Q3-0.2406435375
95-th percentile0.100375377
Maximum1
Range2
Interquartile range (IQR)0.748453125

Descriptive statistics

Standard deviation0.4275934667
Coefficient of variation (CV)-0.687895399
Kurtosis-0.8717356075
Mean-0.6215966372
Median Absolute Deviation (MAD)0.052372335
Skewness0.6690862278
Sum-4569.978476
Variance0.1828361728
MonotonicityNot monotonic
2025-03-02T10:03:57.904672image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98481142 2
 
< 0.1%
-0.99448341 2
 
< 0.1%
-0.99051499 1
 
< 0.1%
-0.95675441 1
 
< 0.1%
-0.95975279 1
 
< 0.1%
-0.947007 1
 
< 0.1%
-0.94703423 1
 
< 0.1%
-0.96756476 1
 
< 0.1%
-0.9698216 1
 
< 0.1%
-0.98116573 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99868385 1
< 0.1%
-0.99846141 1
< 0.1%
-0.99840617 1
< 0.1%
-0.99799741 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99555705 1
< 0.1%
0.92529688 1
< 0.1%
0.84638137 1
< 0.1%
0.83549943 1
< 0.1%

fBodyAccJerk-energy()-X
Real number (ℝ)

Distinct7101
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8502462311
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7309
Negative (%)99.4%
Memory size57.6 KiB
2025-03-02T10:03:58.038079image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999678035
Q1-0.9999093475
median-0.998868135
Q3-0.74318439
95-th percentile-0.408842127
Maximum1
Range2
Interquartile range (IQR)0.2567249575

Descriptive statistics

Standard deviation0.2196032493
Coefficient of variation (CV)-0.2582819439
Kurtosis5.019969191
Mean-0.8502462311
Median Absolute Deviation (MAD)0.001107475
Skewness1.898009194
Sum-6251.010291
Variance0.04822558712
MonotonicityNot monotonic
2025-03-02T10:03:58.084102image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99992915 4
 
0.1%
-0.99995201 3
 
< 0.1%
-0.9999437 3
 
< 0.1%
-0.99992512 3
 
< 0.1%
-0.99995573 3
 
< 0.1%
-0.99996962 3
 
< 0.1%
-0.99995626 3
 
< 0.1%
-0.99992194 3
 
< 0.1%
-0.99995863 3
 
< 0.1%
-0.99994972 3
 
< 0.1%
Other values (7091) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999806 1
< 0.1%
-0.99999711 1
< 0.1%
-0.9999961 1
< 0.1%
-0.99999546 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.83551619 1
< 0.1%
0.6017418 1
< 0.1%
0.57439442 1
< 0.1%
0.55263906 1
< 0.1%

fBodyAccJerk-energy()-Y
Real number (ℝ)

Distinct7224
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8280717987
Minimum-1
Maximum0.63432019
Zeros0
Zeros (%)0.0%
Negative7296
Negative (%)99.2%
Memory size57.6 KiB
2025-03-02T10:03:58.129231image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999028695
Q1-0.9997722825
median-0.997021595
Q3-0.6886084225
95-th percentile-0.345387248
Maximum0.63432019
Range1.63432019
Interquartile range (IQR)0.31116386

Descriptive statistics

Standard deviation0.2397966843
Coefficient of variation (CV)-0.2895844113
Kurtosis2.199322608
Mean-0.8280717987
Median Absolute Deviation (MAD)0.00289595
Skewness1.501352001
Sum-6087.983864
Variance0.05750244981
MonotonicityNot monotonic
2025-03-02T10:03:58.174152image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99984962 3
 
< 0.1%
-0.99989603 3
 
< 0.1%
-0.99987017 3
 
< 0.1%
-0.99982796 3
 
< 0.1%
-0.99989149 3
 
< 0.1%
-0.99986898 3
 
< 0.1%
-0.99986385 3
 
< 0.1%
-0.99984062 3
 
< 0.1%
-0.99978523 2
 
< 0.1%
-0.99988086 2
 
< 0.1%
Other values (7214) 7324
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99997508 1
< 0.1%
-0.99997459 1
< 0.1%
-0.99997374 1
< 0.1%
-0.9999731 1
< 0.1%
ValueCountFrequency (%)
0.63432019 1
< 0.1%
0.56704498 1
< 0.1%
0.47840313 1
< 0.1%
0.4503282 1
< 0.1%
0.38110544 1
< 0.1%

fBodyAccJerk-energy()-Z
Real number (ℝ)

Distinct7207
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.92751351
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7345
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:03:58.220220image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99990218
Q1-0.9997933675
median-0.998557405
Q3-0.8911200875
95-th percentile-0.6915371155
Maximum1
Range2
Interquartile range (IQR)0.10867328

Descriptive statistics

Standard deviation0.1275733853
Coefficient of variation (CV)-0.1375434255
Kurtosis20.17315656
Mean-0.92751351
Median Absolute Deviation (MAD)0.00136642
Skewness3.373071292
Sum-6819.079325
Variance0.01627496865
MonotonicityNot monotonic
2025-03-02T10:03:58.266203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99990682 3
 
< 0.1%
-0.99976047 3
 
< 0.1%
-0.99973052 3
 
< 0.1%
-0.99984596 3
 
< 0.1%
-0.99983173 3
 
< 0.1%
-0.99985335 3
 
< 0.1%
-0.99979753 2
 
< 0.1%
-0.99979962 2
 
< 0.1%
-0.99981032 2
 
< 0.1%
-0.99987299 2
 
< 0.1%
Other values (7197) 7326
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999633 1
< 0.1%
-0.99999381 1
< 0.1%
-0.99999287 1
< 0.1%
-0.99999175 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.6552305 1
< 0.1%
0.18767955 1
< 0.1%
0.1183818 1
< 0.1%
0.082570026 1
< 0.1%

fBodyAccJerk-iqr()-X
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6369844796
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6666
Negative (%)90.7%
Memory size57.6 KiB
2025-03-02T10:03:58.312669image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995464652
Q1-0.98969509
median-0.953412635
Q3-0.29519271
95-th percentile0.14541623
Maximum1
Range2
Interquartile range (IQR)0.69450238

Descriptive statistics

Standard deviation0.4253811914
Coefficient of variation (CV)-0.6678046405
Kurtosis-0.4411642782
Mean-0.6369844796
Median Absolute Deviation (MAD)0.04257881
Skewness0.8317345842
Sum-4683.109894
Variance0.180949158
MonotonicityNot monotonic
2025-03-02T10:03:58.360132image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99613172 2
 
< 0.1%
-0.99057074 2
 
< 0.1%
-0.99336851 2
 
< 0.1%
-0.99334913 2
 
< 0.1%
-0.95710926 2
 
< 0.1%
-0.98671817 1
 
< 0.1%
-0.98272893 1
 
< 0.1%
-0.97929202 1
 
< 0.1%
-0.95624554 1
 
< 0.1%
-0.96413332 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99967397 1
< 0.1%
-0.99953585 1
< 0.1%
-0.99949804 1
< 0.1%
-0.99945377 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9551972 1
< 0.1%
0.94414253 1
< 0.1%
0.90721898 1
< 0.1%
0.90705264 1
< 0.1%

fBodyAccJerk-iqr()-Y
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7227532952
Minimum-1
Maximum0.64132146
Zeros0
Zeros (%)0.0%
Negative7260
Negative (%)98.7%
Memory size57.6 KiB
2025-03-02T10:03:58.404401image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.994643544
Q1-0.9888294925
median-0.949063555
Q3-0.45182277
95-th percentile-0.172893434
Maximum0.64132146
Range1.64132146
Interquartile range (IQR)0.5370067225

Descriptive statistics

Standard deviation0.3115083987
Coefficient of variation (CV)-0.4310023916
Kurtosis-0.7631075544
Mean-0.7227532952
Median Absolute Deviation (MAD)0.046071315
Skewness0.7182310707
Sum-5313.682226
Variance0.09703748249
MonotonicityNot monotonic
2025-03-02T10:03:58.449227image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.97181995 2
 
< 0.1%
-0.99137339 1
 
< 0.1%
-0.97230914 1
 
< 0.1%
-0.97329079 1
 
< 0.1%
-0.97095598 1
 
< 0.1%
-0.96203491 1
 
< 0.1%
-0.96873736 1
 
< 0.1%
-0.96770585 1
 
< 0.1%
-0.98034549 1
 
< 0.1%
-0.98683339 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99939788 1
< 0.1%
-0.9993809 1
< 0.1%
-0.99920909 1
< 0.1%
-0.99898112 1
< 0.1%
ValueCountFrequency (%)
0.64132146 1
< 0.1%
0.426319 1
< 0.1%
0.35524166 1
< 0.1%
0.35485878 1
< 0.1%
0.33875693 1
< 0.1%

fBodyAccJerk-iqr()-Z
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7694193007
Minimum-0.9991623
Maximum1
Zeros0
Zeros (%)0.0%
Negative7246
Negative (%)98.6%
Memory size57.6 KiB
2025-03-02T10:03:58.493695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9991623
5-th percentile-0.992332964
Q1-0.985910005
median-0.9555115
Q3-0.5783904675
95-th percentile-0.2564536705
Maximum1
Range1.9991623
Interquartile range (IQR)0.4075195375

Descriptive statistics

Standard deviation0.2760134001
Coefficient of variation (CV)-0.3587294988
Kurtosis1.32839908
Mean-0.7694193007
Median Absolute Deviation (MAD)0.037513865
Skewness1.240932465
Sum-5656.770699
Variance0.07618339703
MonotonicityNot monotonic
2025-03-02T10:03:58.541810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98912161 2
 
< 0.1%
-0.98735559 2
 
< 0.1%
-0.99623962 1
 
< 0.1%
-0.95550176 1
 
< 0.1%
-0.96249362 1
 
< 0.1%
-0.94975002 1
 
< 0.1%
-0.9520091 1
 
< 0.1%
-0.94210779 1
 
< 0.1%
-0.97582229 1
 
< 0.1%
-0.97957924 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-0.9991623 1
< 0.1%
-0.99898717 1
< 0.1%
-0.9989016 1
< 0.1%
-0.9987131 1
< 0.1%
-0.99866797 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.74042031 1
< 0.1%
0.68828058 1
< 0.1%
0.60170727 1
< 0.1%
0.52809341 1
< 0.1%

fBodyAccJerk-entropy()-X
Real number (ℝ)

Distinct3313
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2787043777
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4072
Negative (%)55.4%
Memory size57.6 KiB
2025-03-02T10:03:58.587607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.73644036
Q30.52068104
95-th percentile0.742970624
Maximum1
Range2
Interquartile range (IQR)1.52068104

Descriptive statistics

Standard deviation0.751732895
Coefficient of variation (CV)-2.697241074
Kurtosis-1.815970338
Mean-0.2787043777
Median Absolute Deviation (MAD)0.26355964
Skewness0.2329741174
Sum-2049.034585
Variance0.5651023455
MonotonicityNot monotonic
2025-03-02T10:03:58.635635image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 3107
42.3%
-0.94369895 199
 
2.7%
-0.90272368 107
 
1.5%
-0.86764384 69
 
0.9%
-0.8364572 53
 
0.7%
-0.78235779 47
 
0.6%
-0.80821445 43
 
0.6%
-0.7585198 34
 
0.5%
-0.64694747 34
 
0.5%
-0.71592594 29
 
0.4%
Other values (3303) 3630
49.4%
ValueCountFrequency (%)
-1 3107
42.3%
-0.94369895 199
 
2.7%
-0.90272368 107
 
1.5%
-0.86764384 69
 
0.9%
-0.8364572 53
 
0.7%
ValueCountFrequency (%)
1 1
< 0.1%
0.99292137 1
< 0.1%
0.98348822 1
< 0.1%
0.98093801 1
< 0.1%
0.97942607 1
< 0.1%

fBodyAccJerk-entropy()-Y
Real number (ℝ)

Distinct3359
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2742650347
Minimum-1
Maximum0.99682502
Zeros0
Zeros (%)0.0%
Negative4088
Negative (%)55.6%
Memory size57.6 KiB
2025-03-02T10:03:58.682753image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.65571828
Q30.511060255
95-th percentile0.7251042035
Maximum0.99682502
Range1.99682502
Interquartile range (IQR)1.511060255

Descriptive statistics

Standard deviation0.7365484768
Coefficient of variation (CV)-2.685535462
Kurtosis-1.805895695
Mean-0.2742650347
Median Absolute Deviation (MAD)0.34428172
Skewness0.2168723772
Sum-2016.396535
Variance0.5425036587
MonotonicityNot monotonic
2025-03-02T10:03:58.729647image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 2848
38.7%
-0.93912029 228
 
3.1%
-0.89481271 125
 
1.7%
-0.85688002 125
 
1.7%
-0.82315714 78
 
1.1%
-0.79261756 63
 
0.9%
-0.76465811 58
 
0.8%
-0.73888149 47
 
0.6%
-0.6721718 39
 
0.5%
-0.69282371 34
 
0.5%
Other values (3349) 3707
50.4%
ValueCountFrequency (%)
-1 2848
38.7%
-0.93912029 228
 
3.1%
-0.89481271 125
 
1.7%
-0.85688002 125
 
1.7%
-0.82315714 78
 
1.1%
ValueCountFrequency (%)
0.99682502 1
< 0.1%
0.99547496 1
< 0.1%
0.98611527 1
< 0.1%
0.98337887 1
< 0.1%
0.970583 1
< 0.1%

fBodyAccJerk-entropy()-Z
Real number (ℝ)

Distinct3325
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3706835965
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4350
Negative (%)59.2%
Memory size57.6 KiB
2025-03-02T10:03:58.775748image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.70844492
Q30.293074765
95-th percentile0.581476627
Maximum1
Range2
Interquartile range (IQR)1.293074765

Descriptive statistics

Standard deviation0.6443393939
Coefficient of variation (CV)-1.73824631
Kurtosis-1.64902902
Mean-0.3706835965
Median Absolute Deviation (MAD)0.29155508
Skewness0.3036548797
Sum-2725.265802
Variance0.4151732545
MonotonicityNot monotonic
2025-03-02T10:03:58.823840image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 2660
36.2%
-0.94221628 422
 
5.7%
-0.90016193 176
 
2.4%
-0.86415827 101
 
1.4%
-0.83215034 79
 
1.1%
-0.80316383 65
 
0.9%
-0.77662624 59
 
0.8%
-0.75216047 57
 
0.8%
-0.70844492 34
 
0.5%
-0.72949958 34
 
0.5%
Other values (3315) 3665
49.9%
ValueCountFrequency (%)
-1 2660
36.2%
-0.94221628 422
 
5.7%
-0.90016193 176
 
2.4%
-0.86415827 101
 
1.4%
-0.83215034 79
 
1.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99724457 1
< 0.1%
0.9971975 1
< 0.1%
0.99633402 1
< 0.1%
0.97652102 1
< 0.1%

fBodyAccJerk-maxInds-X
Real number (ℝ)

Zeros 

Distinct48
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4221055495
Minimum-1
Maximum1
Zeros189
Zeros (%)2.6%
Negative6526
Negative (%)88.8%
Memory size57.6 KiB
2025-03-02T10:03:58.870314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.88
Q1-0.68
median-0.4
Q3-0.16
95-th percentile0.08
Maximum1
Range2
Interquartile range (IQR)0.52

Descriptive statistics

Standard deviation0.326690242
Coefficient of variation (CV)-0.7739539136
Kurtosis-0.4493072335
Mean-0.4221055495
Median Absolute Deviation (MAD)0.24
Skewness0.2331202201
Sum-3103.32
Variance0.1067265142
MonotonicityNot monotonic
2025-03-02T10:03:58.917510image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
-0.88 729
 
9.9%
-0.84 589
 
8.0%
-0.32 391
 
5.3%
-0.48 354
 
4.8%
-0.68 348
 
4.7%
-0.36 344
 
4.7%
-0.24 337
 
4.6%
-0.52 331
 
4.5%
-0.28 299
 
4.1%
-0.16 290
 
3.9%
Other values (38) 3340
45.4%
ValueCountFrequency (%)
-1 74
 
1.0%
-0.96 1
 
< 0.1%
-0.92 67
 
0.9%
-0.88 729
9.9%
-0.84 589
8.0%
ValueCountFrequency (%)
1 3
< 0.1%
0.96 3
< 0.1%
0.88 1
 
< 0.1%
0.8 1
 
< 0.1%
0.76 4
0.1%

fBodyAccJerk-maxInds-Y
Real number (ℝ)

Zeros 

Distinct48
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3988248096
Minimum-1
Maximum1
Zeros107
Zeros (%)1.5%
Negative6737
Negative (%)91.6%
Memory size57.6 KiB
2025-03-02T10:03:58.962473image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.84
Q1-0.56
median-0.4
Q3-0.24
95-th percentile0.08
Maximum1
Range2
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.2679672129
Coefficient of variation (CV)-0.671892035
Kurtosis0.9221262199
Mean-0.3988248096
Median Absolute Deviation (MAD)0.16
Skewness0.5058384553
Sum-2932.16
Variance0.0718064272
MonotonicityNot monotonic
2025-03-02T10:03:59.009446image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
-0.44 518
 
7.0%
-0.32 478
 
6.5%
-0.4 471
 
6.4%
-0.48 464
 
6.3%
-0.52 436
 
5.9%
-0.36 423
 
5.8%
-0.56 421
 
5.7%
-0.28 397
 
5.4%
-0.6 343
 
4.7%
-0.24 342
 
4.7%
Other values (38) 3059
41.6%
ValueCountFrequency (%)
-1 74
1.0%
-0.96 5
 
0.1%
-0.92 39
 
0.5%
-0.88 176
2.4%
-0.84 105
1.4%
ValueCountFrequency (%)
1 2
< 0.1%
0.92 4
0.1%
0.88 1
 
< 0.1%
0.8 1
 
< 0.1%
0.76 2
< 0.1%

fBodyAccJerk-maxInds-Z
Real number (ℝ)

Zeros 

Distinct49
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3304570185
Minimum-1
Maximum0.96
Zeros191
Zeros (%)2.6%
Negative6355
Negative (%)86.4%
Memory size57.6 KiB
2025-03-02T10:03:59.055936image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.88
Q1-0.52
median-0.32
Q3-0.16
95-th percentile0.16
Maximum0.96
Range1.96
Interquartile range (IQR)0.36

Descriptive statistics

Standard deviation0.2977401084
Coefficient of variation (CV)-0.9009949607
Kurtosis0.3830543761
Mean-0.3304570185
Median Absolute Deviation (MAD)0.16
Skewness0.03318551309
Sum-2429.52
Variance0.08864917214
MonotonicityNot monotonic
2025-03-02T10:03:59.102607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
-0.32 497
 
6.8%
-0.28 488
 
6.6%
-0.36 475
 
6.5%
-0.24 400
 
5.4%
-0.2 378
 
5.1%
-0.4 377
 
5.1%
-0.48 374
 
5.1%
-0.44 366
 
5.0%
-0.16 341
 
4.6%
-0.12 308
 
4.2%
Other values (39) 3348
45.5%
ValueCountFrequency (%)
-1 88
1.2%
-0.96 192
2.6%
-0.92 14
 
0.2%
-0.88 172
2.3%
-0.84 110
1.5%
ValueCountFrequency (%)
0.96 2
 
< 0.1%
0.92 1
 
< 0.1%
0.88 2
 
< 0.1%
0.84 1
 
< 0.1%
0.8 6
0.1%

fBodyAccJerk-meanFreq()-X
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04649134255
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3920
Negative (%)53.3%
Memory size57.6 KiB
2025-03-02T10:03:59.148716image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.498299968
Q1-0.2964210675
median-0.045347239
Q30.204220725
95-th percentile0.394872875
Maximum1
Range2
Interquartile range (IQR)0.5006417925

Descriptive statistics

Standard deviation0.2943902462
Coefficient of variation (CV)-6.332151968
Kurtosis-0.9371843871
Mean-0.04649134255
Median Absolute Deviation (MAD)0.250341684
Skewness-0.0299504009
Sum-341.8043504
Variance0.08666561706
MonotonicityNot monotonic
2025-03-02T10:03:59.194585image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.30834827 2
 
< 0.1%
0.87038451 1
 
< 0.1%
0.17822377 1
 
< 0.1%
0.3420252 1
 
< 0.1%
0.39325346 1
 
< 0.1%
0.088060866 1
 
< 0.1%
0.15467768 1
 
< 0.1%
0.11999967 1
 
< 0.1%
0.24801024 1
 
< 0.1%
0.097615187 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.85972236 1
< 0.1%
-0.82985241 1
< 0.1%
-0.80903845 1
< 0.1%
-0.79959467 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87038451 1
< 0.1%
0.86673234 1
< 0.1%
0.79936783 1
< 0.1%
0.76288723 1
< 0.1%

fBodyAccJerk-meanFreq()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2116274314
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative5370
Negative (%)73.0%
Memory size57.6 KiB
2025-03-02T10:03:59.314212image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.627660217
Q1-0.430907945
median-0.23568548
Q30.01799815
95-th percentile0.227858256
Maximum1
Range2
Interquartile range (IQR)0.448906095

Descriptive statistics

Standard deviation0.2763760003
Coefficient of variation (CV)-1.305955463
Kurtosis-0.7177189027
Mean-0.2116274314
Median Absolute Deviation (MAD)0.221838465
Skewness0.1437540188
Sum-1555.884876
Variance0.07638369355
MonotonicityNot monotonic
2025-03-02T10:03:59.357810image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.210697 1
 
< 0.1%
-0.39436169 1
 
< 0.1%
-0.35263281 1
 
< 0.1%
-0.1158708 1
 
< 0.1%
-0.58571118 1
 
< 0.1%
-0.58597271 1
 
< 0.1%
-0.38282372 1
 
< 0.1%
-0.10361936 1
 
< 0.1%
0.20877871 1
 
< 0.1%
0.19394914 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9634169 1
< 0.1%
-0.94589471 1
< 0.1%
-0.91803789 1
< 0.1%
-0.89271243 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97720539 1
< 0.1%
0.92583858 1
< 0.1%
0.68718251 1
< 0.1%
0.62268017 1
< 0.1%

fBodyAccJerk-meanFreq()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1225792704
Minimum-1
Maximum0.67862794
Zeros0
Zeros (%)0.0%
Negative4509
Negative (%)61.3%
Memory size57.6 KiB
2025-03-02T10:03:59.399532image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5894004155
Q1-0.330323375
median-0.0959000995
Q30.09546323925
95-th percentile0.279400197
Maximum0.67862794
Range1.67862794
Interquartile range (IQR)0.4257866142

Descriptive statistics

Standard deviation0.2754316594
Coefficient of variation (CV)-2.246967685
Kurtosis-0.6372766142
Mean-0.1225792704
Median Absolute Deviation (MAD)0.21023213
Skewness-0.2462861012
Sum-901.2027959
Variance0.075862599
MonotonicityNot monotonic
2025-03-02T10:03:59.442394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.26370789 1
 
< 0.1%
-0.39086632 1
 
< 0.1%
-0.52688774 1
 
< 0.1%
-0.30573923 1
 
< 0.1%
-0.27839991 1
 
< 0.1%
-0.37480227 1
 
< 0.1%
-0.28743126 1
 
< 0.1%
-0.1741669 1
 
< 0.1%
0.14910905 1
 
< 0.1%
0.030642286 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.96573769 1
< 0.1%
-0.96317273 1
< 0.1%
-0.95610469 1
< 0.1%
-0.95521049 1
< 0.1%
ValueCountFrequency (%)
0.67862794 1
< 0.1%
0.61256423 1
< 0.1%
0.58651583 1
< 0.1%
0.58510465 1
< 0.1%
0.56545432 1
< 0.1%

fBodyAccJerk-skewness()-X
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3209919846
Minimum-1
Maximum0.82920557
Zeros0
Zeros (%)0.0%
Negative6521
Negative (%)88.7%
Memory size57.6 KiB
2025-03-02T10:03:59.483767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.662553112
Q1-0.508884455
median-0.359148275
Q3-0.171194135
95-th percentile0.14245783
Maximum0.82920557
Range1.82920557
Interquartile range (IQR)0.33769032

Descriptive statistics

Standard deviation0.2551991723
Coefficient of variation (CV)-0.7950328498
Kurtosis0.8651179124
Mean-0.3209919846
Median Absolute Deviation (MAD)0.164333165
Skewness0.8261544196
Sum-2359.933071
Variance0.06512661755
MonotonicityNot monotonic
2025-03-02T10:03:59.525484image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.70368577 1
 
< 0.1%
-0.47734698 1
 
< 0.1%
-0.014277615 1
 
< 0.1%
-0.53743205 1
 
< 0.1%
-0.90020214 1
 
< 0.1%
-0.52274729 1
 
< 0.1%
-0.52983093 1
 
< 0.1%
-0.50890958 1
 
< 0.1%
-0.56985897 1
 
< 0.1%
-0.47174763 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9911018 1
< 0.1%
-0.94868378 1
< 0.1%
-0.91890769 1
< 0.1%
-0.90020214 1
< 0.1%
ValueCountFrequency (%)
0.82920557 1
< 0.1%
0.78613288 1
< 0.1%
0.78448605 1
< 0.1%
0.7839319 1
< 0.1%
0.7730792 1
< 0.1%

fBodyAccJerk-kurtosis()-X
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7155682701
Minimum-1
Maximum0.66004197
Zeros0
Zeros (%)0.0%
Negative7245
Negative (%)98.5%
Memory size57.6 KiB
2025-03-02T10:03:59.568551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9219022895
Q1-0.858750985
median-0.776195065
Q3-0.63995498
95-th percentile-0.3027970735
Maximum0.66004197
Range1.66004197
Interquartile range (IQR)0.218796005

Descriptive statistics

Standard deviation0.2103727835
Coefficient of variation (CV)-0.2939940076
Kurtosis5.800071229
Mean-0.7155682701
Median Absolute Deviation (MAD)0.097335545
Skewness2.041834257
Sum-5260.857922
Variance0.04425670803
MonotonicityNot monotonic
2025-03-02T10:03:59.610703image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.90374251 1
 
< 0.1%
-0.84353267 1
 
< 0.1%
-0.47632141 1
 
< 0.1%
-0.8710742 1
 
< 0.1%
-0.94822765 1
 
< 0.1%
-0.83573938 1
 
< 0.1%
-0.8604148 1
 
< 0.1%
-0.84660836 1
 
< 0.1%
-0.85731783 1
 
< 0.1%
-0.84671976 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.97476751 1
< 0.1%
-0.97335526 1
< 0.1%
-0.97320411 1
< 0.1%
-0.97134115 1
< 0.1%
ValueCountFrequency (%)
0.66004197 1
< 0.1%
0.61008708 1
< 0.1%
0.57194146 1
< 0.1%
0.55144741 1
< 0.1%
0.52724422 1
< 0.1%

fBodyAccJerk-skewness()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3961254521
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7106
Negative (%)96.7%
Memory size57.6 KiB
2025-03-02T10:03:59.652205image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.656098775
Q1-0.53509974
median-0.417467345
Q3-0.2879058125
95-th percentile-0.05403493785
Maximum1
Range2
Interquartile range (IQR)0.2471939275

Descriptive statistics

Standard deviation0.1905462665
Coefficient of variation (CV)-0.4810250528
Kurtosis2.299767444
Mean-0.3961254521
Median Absolute Deviation (MAD)0.12201854
Skewness0.9561109431
Sum-2912.314324
Variance0.03630787969
MonotonicityNot monotonic
2025-03-02T10:03:59.697994image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.58257362 1
 
< 0.1%
-0.5744823 1
 
< 0.1%
-0.34174631 1
 
< 0.1%
-0.22664083 1
 
< 0.1%
-0.39489906 1
 
< 0.1%
-0.13937863 1
 
< 0.1%
-0.57096287 1
 
< 0.1%
-0.53479762 1
 
< 0.1%
-0.50700866 1
 
< 0.1%
-0.48284508 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.90527367 1
< 0.1%
-0.89446822 1
< 0.1%
-0.85163287 1
< 0.1%
-0.83172246 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94657137 1
< 0.1%
0.91822918 1
< 0.1%
0.79521656 1
< 0.1%
0.67898193 1
< 0.1%

fBodyAccJerk-kurtosis()-Y
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8196655008
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7334
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:03:59.742136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.959188513
Q1-0.9126017625
median-0.855797845
Q3-0.771686215
95-th percentile-0.5551739085
Maximum1
Range2
Interquartile range (IQR)0.1409155475

Descriptive statistics

Standard deviation0.1435237309
Coefficient of variation (CV)-0.1751003681
Kurtosis18.01953576
Mean-0.8196655008
Median Absolute Deviation (MAD)0.065642605
Skewness2.9569324
Sum-6026.180762
Variance0.02059906134
MonotonicityNot monotonic
2025-03-02T10:03:59.787445image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.79181039 2
 
< 0.1%
-0.94072522 1
 
< 0.1%
-0.79540159 1
 
< 0.1%
-0.76926017 1
 
< 0.1%
-0.64848444 1
 
< 0.1%
-0.86102361 1
 
< 0.1%
-0.63399724 1
 
< 0.1%
-0.9300517 1
 
< 0.1%
-0.92280102 1
 
< 0.1%
-0.89493045 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99861124 1
< 0.1%
-0.99817502 1
< 0.1%
-0.9977589 1
< 0.1%
-0.99475812 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.88927897 1
< 0.1%
0.84009442 1
< 0.1%
0.66206813 1
< 0.1%
0.47120461 1
< 0.1%

fBodyAccJerk-skewness()-Z
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4866868458
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7187
Negative (%)97.8%
Memory size57.6 KiB
2025-03-02T10:03:59.830989image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.750879367
Q1-0.6289083125
median-0.520183165
Q3-0.382035625
95-th percentile-0.1110455125
Maximum1
Range2
Interquartile range (IQR)0.2468726875

Descriptive statistics

Standard deviation0.2027030286
Coefficient of variation (CV)-0.4164958029
Kurtosis2.804540627
Mean-0.4866868458
Median Absolute Deviation (MAD)0.11974976
Skewness1.162025447
Sum-3578.12169
Variance0.04108851781
MonotonicityNot monotonic
2025-03-02T10:03:59.875036image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.50369776 2
 
< 0.1%
-0.50734474 1
 
< 0.1%
-0.59830636 1
 
< 0.1%
-0.69987681 1
 
< 0.1%
-0.56393894 1
 
< 0.1%
-0.22661188 1
 
< 0.1%
-0.66559932 1
 
< 0.1%
-0.63054382 1
 
< 0.1%
-0.50414394 1
 
< 0.1%
-0.29728278 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.97666752 1
< 0.1%
-0.97050595 1
< 0.1%
-0.93834197 1
< 0.1%
-0.91672714 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.85859182 1
< 0.1%
0.81273782 1
< 0.1%
0.76091503 1
< 0.1%
0.73136447 1
< 0.1%

fBodyAccJerk-kurtosis()-Z
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8132614304
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7326
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:03:59.918185image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.957923266
Q1-0.9114863625
median-0.85496485
Q3-0.7656784
95-th percentile-0.5275927865
Maximum1
Range2
Interquartile range (IQR)0.1458079625

Descriptive statistics

Standard deviation0.155852185
Coefficient of variation (CV)-0.1916384808
Kurtosis17.63420937
Mean-0.8132614304
Median Absolute Deviation (MAD)0.066008295
Skewness3.055118647
Sum-5979.098036
Variance0.02428990356
MonotonicityNot monotonic
2025-03-02T10:03:59.962953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.76383611 2
 
< 0.1%
-0.99034535 1
 
< 0.1%
-0.84638377 1
 
< 0.1%
-0.57624613 1
 
< 0.1%
-0.90866151 1
 
< 0.1%
-0.85018349 1
 
< 0.1%
-0.84638732 1
 
< 0.1%
-0.68552654 1
 
< 0.1%
-0.87208029 1
 
< 0.1%
-0.90311344 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9979968 1
< 0.1%
-0.99748005 1
< 0.1%
-0.99631563 1
< 0.1%
-0.99472867 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87636965 1
< 0.1%
0.7794204 1
< 0.1%
0.72522035 1
< 0.1%
0.72112206 1
< 0.1%
Distinct6461
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8622706536
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7280
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:04:00.006592image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999536
Q1-0.9999816775
median-0.999683605
Q3-0.795421875
95-th percentile-0.4097492245
Maximum1
Range2
Interquartile range (IQR)0.2045598025

Descriptive statistics

Standard deviation0.2220681369
Coefficient of variation (CV)-0.2575387855
Kurtosis8.642455008
Mean-0.8622706536
Median Absolute Deviation (MAD)0.000313185
Skewness2.485512879
Sum-6339.413845
Variance0.04931425744
MonotonicityNot monotonic
2025-03-02T10:04:00.049806image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999143 7
 
0.1%
-0.99999362 7
 
0.1%
-0.99999545 6
 
0.1%
-0.99999584 6
 
0.1%
-0.99999404 6
 
0.1%
-0.99999432 5
 
0.1%
-0.99999547 5
 
0.1%
-0.99999382 5
 
0.1%
-0.99999496 5
 
0.1%
-0.99999532 5
 
0.1%
Other values (6451) 7295
99.2%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999993 1
< 0.1%
-0.99999991 1
< 0.1%
-0.99999989 1
< 0.1%
-0.99999987 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.91903701 1
< 0.1%
0.78808629 1
< 0.1%
0.74560703 1
< 0.1%
0.7248948 1
< 0.1%
Distinct6958
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8893302672
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7326
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:04:00.093260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999983328
Q1-0.9999475225
median-0.999285785
Q3-0.8143806475
95-th percentile-0.5578028335
Maximum1
Range2
Interquartile range (IQR)0.185566875

Descriptive statistics

Standard deviation0.1729643225
Coefficient of variation (CV)-0.1944882895
Kurtosis10.17542151
Mean-0.8893302672
Median Absolute Deviation (MAD)0.000702075
Skewness2.473952946
Sum-6538.356124
Variance0.02991665685
MonotonicityNot monotonic
2025-03-02T10:04:00.136838image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997394 4
 
0.1%
-0.99993703 4
 
0.1%
-0.99996835 3
 
< 0.1%
-0.99993128 3
 
< 0.1%
-0.99995816 3
 
< 0.1%
-0.99997847 3
 
< 0.1%
-0.99997937 3
 
< 0.1%
-0.99998574 3
 
< 0.1%
-0.99995755 3
 
< 0.1%
-0.99995455 3
 
< 0.1%
Other values (6948) 7320
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999958 1
< 0.1%
-0.9999991 1
< 0.1%
-0.99999898 1
< 0.1%
-0.9999982 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92221387 1
< 0.1%
0.47244812 1
< 0.1%
0.4683353 1
< 0.1%
0.2584402 1
< 0.1%
Distinct7103
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8745045334
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7305
Negative (%)99.4%
Memory size57.6 KiB
2025-03-02T10:04:00.179996image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999694845
Q1-0.999912915
median-0.998892945
Q3-0.811868175
95-th percentile-0.4432204985
Maximum1
Range2
Interquartile range (IQR)0.18804474

Descriptive statistics

Standard deviation0.2053626898
Coefficient of variation (CV)-0.2348331906
Kurtosis7.583923541
Mean-0.8745045334
Median Absolute Deviation (MAD)0.00108417
Skewness2.381803851
Sum-6429.35733
Variance0.04217383436
MonotonicityNot monotonic
2025-03-02T10:04:00.223191image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997478 3
 
< 0.1%
-0.99994453 3
 
< 0.1%
-0.99996888 3
 
< 0.1%
-0.99994379 3
 
< 0.1%
-0.99995953 3
 
< 0.1%
-0.99996553 3
 
< 0.1%
-0.99996228 3
 
< 0.1%
-0.99996704 3
 
< 0.1%
-0.99994952 3
 
< 0.1%
-0.99996042 3
 
< 0.1%
Other values (7093) 7322
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999988 1
< 0.1%
-0.99999983 1
< 0.1%
-0.99999826 1
< 0.1%
-0.99999777 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.78144665 1
< 0.1%
0.66691046 1
< 0.1%
0.6074832 1
< 0.1%
0.48076172 1
< 0.1%
Distinct7165
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9006731891
Minimum-0.99999606
Maximum1
Zeros0
Zeros (%)0.0%
Negative7317
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:04:00.266613image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999606
5-th percentile-0.9999477245
Q1-0.9998644175
median-0.998835595
Q3-0.8666766275
95-th percentile-0.5405302165
Maximum1
Range1.99999606
Interquartile range (IQR)0.13318779

Descriptive statistics

Standard deviation0.1760956138
Coefficient of variation (CV)-0.1955155498
Kurtosis12.23699579
Mean-0.9006731891
Median Absolute Deviation (MAD)0.00112713
Skewness2.936415263
Sum-6621.749286
Variance0.0310096652
MonotonicityNot monotonic
2025-03-02T10:04:00.310112image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99990007 3
 
< 0.1%
-0.99985413 3
 
< 0.1%
-0.99993078 3
 
< 0.1%
-0.99989619 3
 
< 0.1%
-0.9999198 2
 
< 0.1%
-0.99990492 2
 
< 0.1%
-0.99996667 2
 
< 0.1%
-0.99962696 2
 
< 0.1%
-0.99995193 2
 
< 0.1%
-0.99981369 2
 
< 0.1%
Other values (7155) 7328
99.7%
ValueCountFrequency (%)
-0.99999606 1
< 0.1%
-0.99999405 1
< 0.1%
-0.99999254 2
< 0.1%
-0.9999921 1
< 0.1%
-0.99999188 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.75570181 1
< 0.1%
0.4989137 1
< 0.1%
0.48083014 1
< 0.1%
0.40381729 1
< 0.1%
Distinct7138
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9209156061
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7346
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:00.352816image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999551945
Q1-0.9998832475
median-0.99913765
Q3-0.8875746075
95-th percentile-0.6451398525
Maximum1
Range2
Interquartile range (IQR)0.11230864

Descriptive statistics

Standard deviation0.1341890566
Coefficient of variation (CV)-0.1457126534
Kurtosis13.56015666
Mean-0.9209156061
Median Absolute Deviation (MAD)0.000827795
Skewness2.829060403
Sum-6770.571536
Variance0.0180067029
MonotonicityNot monotonic
2025-03-02T10:04:00.396814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99992307 4
 
0.1%
-0.99998162 3
 
< 0.1%
-0.99996143 3
 
< 0.1%
-0.99991301 3
 
< 0.1%
-0.99990716 3
 
< 0.1%
-0.99996399 3
 
< 0.1%
-0.99994784 3
 
< 0.1%
-0.99987652 3
 
< 0.1%
-0.99994585 3
 
< 0.1%
-0.99991168 3
 
< 0.1%
Other values (7128) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999915 1
< 0.1%
-0.99999751 1
< 0.1%
-0.99999594 1
< 0.1%
-0.99999502 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.21018377 1
< 0.1%
0.15139094 1
< 0.1%
0.124351 1
< 0.1%
0.050281152 1
< 0.1%
Distinct7150
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.901332259
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7324
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:04:00.516745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999940789
Q1-0.99985316
median-0.999008685
Q3-0.85868891
95-th percentile-0.567243737
Maximum1
Range2
Interquartile range (IQR)0.14116425

Descriptive statistics

Standard deviation0.1703052191
Coefficient of variation (CV)-0.1889483233
Kurtosis12.93937321
Mean-0.901332259
Median Absolute Deviation (MAD)0.000944655
Skewness2.935050902
Sum-6626.594768
Variance0.02900386764
MonotonicityNot monotonic
2025-03-02T10:04:00.560059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99987757 3
 
< 0.1%
-0.99979462 3
 
< 0.1%
-0.99987887 3
 
< 0.1%
-0.99993762 3
 
< 0.1%
-0.9998647 3
 
< 0.1%
-0.99982994 3
 
< 0.1%
-0.99992664 3
 
< 0.1%
-0.9999112 3
 
< 0.1%
-0.99987132 3
 
< 0.1%
-0.99990042 3
 
< 0.1%
Other values (7140) 7322
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999688 1
< 0.1%
-0.99999227 1
< 0.1%
-0.99999012 1
< 0.1%
-0.9999891 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.85669074 1
< 0.1%
0.59559342 1
< 0.1%
0.53666044 1
< 0.1%
0.41481153 1
< 0.1%
Distinct7000
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9441105982
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7346
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:00.602600image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999735145
Q1-0.9999236425
median-0.999402675
Q3-0.9231056175
95-th percentile-0.747804189
Maximum1
Range2
Interquartile range (IQR)0.076818025

Descriptive statistics

Standard deviation0.1047142228
Coefficient of variation (CV)-0.110913089
Kurtosis32.74042474
Mean-0.9441105982
Median Absolute Deviation (MAD)0.000578465
Skewness4.083706279
Sum-6941.101118
Variance0.01096506846
MonotonicityNot monotonic
2025-03-02T10:04:00.646132image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99994238 4
 
0.1%
-0.99996023 4
 
0.1%
-0.99996954 3
 
< 0.1%
-0.9999434 3
 
< 0.1%
-0.99996966 3
 
< 0.1%
-0.99993634 3
 
< 0.1%
-0.99995492 3
 
< 0.1%
-0.99989152 3
 
< 0.1%
-0.999938 3
 
< 0.1%
-0.99995867 3
 
< 0.1%
Other values (6990) 7320
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999981 1
< 0.1%
-0.99999641 1
< 0.1%
-0.99999634 1
< 0.1%
-0.99999629 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.21238393 1
< 0.1%
0.19931323 1
< 0.1%
0.098937929 1
< 0.1%
0.090628946 1
< 0.1%
Distinct5865
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9840589395
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7349
Negative (%)> 99.9%
Memory size57.6 KiB
2025-03-02T10:04:00.690274image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999994
Q1-0.999992205
median-0.999894475
Q3-0.99136237
95-th percentile-0.9178170645
Maximum1
Range2
Interquartile range (IQR)0.008629835

Descriptive statistics

Standard deviation0.05802744952
Coefficient of variation (CV)-0.05896745326
Kurtosis376.0621443
Mean-0.9840589395
Median Absolute Deviation (MAD)0.000105175
Skewness14.70605201
Sum-7234.801323
Variance0.003367184897
MonotonicityNot monotonic
2025-03-02T10:04:00.735912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999983 12
 
0.2%
-0.99999894 10
 
0.1%
-0.99999835 10
 
0.1%
-0.99999945 10
 
0.1%
-0.99999913 10
 
0.1%
-0.99999936 10
 
0.1%
-0.99999984 10
 
0.1%
-0.99999973 10
 
0.1%
-0.99999978 10
 
0.1%
-0.99999964 10
 
0.1%
Other values (5855) 7250
98.6%
ValueCountFrequency (%)
-1 2
 
< 0.1%
-0.99999999 6
0.1%
-0.99999998 6
0.1%
-0.99999997 4
0.1%
-0.99999996 9
0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.82381917 1
< 0.1%
0.25111069 1
< 0.1%
-0.050218287 1
< 0.1%
-0.13714765 1
< 0.1%
Distinct6849
Distinct (%)93.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8675188344
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7323
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:04:00.780440image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999986709
Q1-0.999956975
median-0.9993719
Q3-0.785323215
95-th percentile-0.455836508
Maximum1
Range2
Interquartile range (IQR)0.21463376

Descriptive statistics

Standard deviation0.1993888648
Coefficient of variation (CV)-0.2298380818
Kurtosis7.411603616
Mean-0.8675188344
Median Absolute Deviation (MAD)0.00061824
Skewness2.164443556
Sum-6377.998471
Variance0.03975591941
MonotonicityNot monotonic
2025-03-02T10:04:00.827759image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998257 4
 
0.1%
-0.99998205 4
 
0.1%
-0.99998635 4
 
0.1%
-0.99997806 4
 
0.1%
-0.99996653 4
 
0.1%
-0.99998562 4
 
0.1%
-0.99998695 4
 
0.1%
-0.9999658 3
 
< 0.1%
-0.99998063 3
 
< 0.1%
-0.99996777 3
 
< 0.1%
Other values (6839) 7315
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999961 1
< 0.1%
-0.99999904 1
< 0.1%
-0.99999879 1
< 0.1%
-0.99999813 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96623543 1
< 0.1%
0.70031418 1
< 0.1%
0.64190394 1
< 0.1%
0.58601528 1
< 0.1%
Distinct7161
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8567359672
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7276
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:04:00.871463image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999579225
Q1-0.9998788625
median-0.99860296
Q3-0.7811465175
95-th percentile-0.3865918065
Maximum1
Range2
Interquartile range (IQR)0.218732345

Descriptive statistics

Standard deviation0.2295386731
Coefficient of variation (CV)-0.2679223027
Kurtosis6.620189788
Mean-0.8567359672
Median Absolute Deviation (MAD)0.001366745
Skewness2.2634535
Sum-6298.722831
Variance0.05268800245
MonotonicityNot monotonic
2025-03-02T10:04:00.914870image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99989126 3
 
< 0.1%
-0.99992593 3
 
< 0.1%
-0.99988482 3
 
< 0.1%
-0.99982767 3
 
< 0.1%
-0.99993471 3
 
< 0.1%
-0.99993053 3
 
< 0.1%
-0.99992492 2
 
< 0.1%
-0.9998588 2
 
< 0.1%
-0.9999571 2
 
< 0.1%
-0.99993283 2
 
< 0.1%
Other values (7151) 7326
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999942 1
< 0.1%
-0.99999826 1
< 0.1%
-0.99999819 1
< 0.1%
-0.99999653 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.89973541 1
< 0.1%
0.82204133 1
< 0.1%
0.77605951 1
< 0.1%
0.58879659 1
< 0.1%
Distinct7123
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9062870129
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7342
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:00.957672image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999500425
Q1-0.9998718325
median-0.999011015
Q3-0.86055813
95-th percentile-0.584305657
Maximum1
Range2
Interquartile range (IQR)0.1393137025

Descriptive statistics

Standard deviation0.1538333889
Coefficient of variation (CV)-0.1697402553
Kurtosis10.00656725
Mean-0.9062870129
Median Absolute Deviation (MAD)0.00095085
Skewness2.563541677
Sum-6663.022119
Variance0.02366471155
MonotonicityNot monotonic
2025-03-02T10:04:01.001314image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99983921 4
 
0.1%
-0.99996501 3
 
< 0.1%
-0.99995777 3
 
< 0.1%
-0.99991842 3
 
< 0.1%
-0.99996162 3
 
< 0.1%
-0.99995662 3
 
< 0.1%
-0.99990694 3
 
< 0.1%
-0.99988614 3
 
< 0.1%
-0.99990352 3
 
< 0.1%
-0.99994167 3
 
< 0.1%
Other values (7113) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999416 1
< 0.1%
-0.99999283 1
< 0.1%
-0.99999254 1
< 0.1%
-0.99999226 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.26803647 1
< 0.1%
0.18561065 1
< 0.1%
0.14583953 1
< 0.1%
0.13344673 1
< 0.1%
Distinct7031
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9419966652
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7343
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:01.044450image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999726405
Q1-0.99992192
median-0.99936743
Q3-0.920355195
95-th percentile-0.7438217505
Maximum1
Range2
Interquartile range (IQR)0.079566725

Descriptive statistics

Standard deviation0.1087200443
Coefficient of variation (CV)-0.1154144683
Kurtosis31.72044467
Mean-0.9419966652
Median Absolute Deviation (MAD)0.000612775
Skewness4.096899339
Sum-6925.559483
Variance0.01182004803
MonotonicityNot monotonic
2025-03-02T10:04:01.087556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99996171 4
 
0.1%
-0.99981911 3
 
< 0.1%
-0.99998222 3
 
< 0.1%
-0.99988593 3
 
< 0.1%
-0.999961 3
 
< 0.1%
-0.99993647 3
 
< 0.1%
-0.9999306 3
 
< 0.1%
-0.99992515 3
 
< 0.1%
-0.99994768 3
 
< 0.1%
-0.99996031 3
 
< 0.1%
Other values (7021) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999849 1
< 0.1%
-0.99999635 2
< 0.1%
-0.99999625 1
< 0.1%
-0.99999528 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.20398134 1
< 0.1%
0.20231636 1
< 0.1%
0.13567405 1
< 0.1%
0.10696175 1
< 0.1%
Distinct7032
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8458602964
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7300
Negative (%)99.3%
Memory size57.6 KiB
2025-03-02T10:04:01.130969image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999784945
Q1-0.999933445
median-0.99903556
Q3-0.7340132725
95-th percentile-0.403115766
Maximum1
Range2
Interquartile range (IQR)0.2659201725

Descriptive statistics

Standard deviation0.224672818
Coefficient of variation (CV)-0.2656145689
Kurtosis4.988126918
Mean-0.8458602964
Median Absolute Deviation (MAD)0.000948365
Skewness1.878927603
Sum-6218.764899
Variance0.05047787513
MonotonicityNot monotonic
2025-03-02T10:04:01.174360image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99995372 5
 
0.1%
-0.99996839 4
 
0.1%
-0.999963 3
 
< 0.1%
-0.99998177 3
 
< 0.1%
-0.99996026 3
 
< 0.1%
-0.99997178 3
 
< 0.1%
-0.99997685 3
 
< 0.1%
-0.99995625 3
 
< 0.1%
-0.99997105 3
 
< 0.1%
-0.99992702 3
 
< 0.1%
Other values (7022) 7319
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999987 1
< 0.1%
-0.99999981 1
< 0.1%
-0.99999918 1
< 0.1%
-0.999999 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96563241 1
< 0.1%
0.8300917 1
< 0.1%
0.57571684 1
< 0.1%
0.56447579 1
< 0.1%
Distinct7202
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8637058187
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7292
Negative (%)99.2%
Memory size57.6 KiB
2025-03-02T10:04:01.217349image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999932799
Q1-0.999819985
median-0.99843111
Q3-0.8016068
95-th percentile-0.3994992175
Maximum1
Range2
Interquartile range (IQR)0.198213185

Descriptive statistics

Standard deviation0.2236143538
Coefficient of variation (CV)-0.2589010622
Kurtosis8.283340422
Mean-0.8637058187
Median Absolute Deviation (MAD)0.00151781
Skewness2.471584841
Sum-6349.965179
Variance0.05000337925
MonotonicityNot monotonic
2025-03-02T10:04:01.260389image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99990744 3
 
< 0.1%
-0.99985404 3
 
< 0.1%
-0.99982086 3
 
< 0.1%
-0.99988259 3
 
< 0.1%
-0.99991486 3
 
< 0.1%
-0.9997414 2
 
< 0.1%
-0.99985834 2
 
< 0.1%
-0.99995006 2
 
< 0.1%
-0.99989366 2
 
< 0.1%
-0.99974046 2
 
< 0.1%
Other values (7192) 7327
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999877 1
< 0.1%
-0.9999943 1
< 0.1%
-0.99999111 1
< 0.1%
-0.99999077 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.84863773 1
< 0.1%
0.79052532 1
< 0.1%
0.7840734 1
< 0.1%
0.78187783 1
< 0.1%
Distinct7218
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8379821687
Minimum-1
Maximum0.70292796
Zeros0
Zeros (%)0.0%
Negative7309
Negative (%)99.4%
Memory size57.6 KiB
2025-03-02T10:04:01.302663image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999574925
Q1-0.9998455975
median-0.99591949
Q3-0.7108633075
95-th percentile-0.3930293115
Maximum0.70292796
Range1.70292796
Interquartile range (IQR)0.28898229

Descriptive statistics

Standard deviation0.2233691759
Coefficient of variation (CV)-0.2665560011
Kurtosis3.064636743
Mean-0.8379821687
Median Absolute Deviation (MAD)0.004048965
Skewness1.598983446
Sum-6160.844904
Variance0.04989378873
MonotonicityNot monotonic
2025-03-02T10:04:01.344235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99993051 4
 
0.1%
-0.99991595 3
 
< 0.1%
-0.99996445 3
 
< 0.1%
-0.99990452 3
 
< 0.1%
-0.9998694 2
 
< 0.1%
-0.99995435 2
 
< 0.1%
-0.9999574 2
 
< 0.1%
-0.99990298 2
 
< 0.1%
-0.99994738 2
 
< 0.1%
-0.99995874 2
 
< 0.1%
Other values (7208) 7327
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999475 1
< 0.1%
-0.99999346 1
< 0.1%
-0.99999313 1
< 0.1%
-0.99999291 1
< 0.1%
ValueCountFrequency (%)
0.70292796 1
< 0.1%
0.6549959 1
< 0.1%
0.5502328 1
< 0.1%
0.41018754 1
< 0.1%
0.37037886 1
< 0.1%
Distinct7169
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8669058837
Minimum-1
Maximum0.89173636
Zeros0
Zeros (%)0.0%
Negative7291
Negative (%)99.2%
Memory size57.6 KiB
2025-03-02T10:04:01.385072image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999622545
Q1-0.9998851625
median-0.99821268
Q3-0.7958367525
95-th percentile-0.4359117265
Maximum0.89173636
Range1.89173636
Interquartile range (IQR)0.20404841

Descriptive statistics

Standard deviation0.2104530099
Coefficient of variation (CV)-0.2427633886
Kurtosis7.047362645
Mean-0.8669058837
Median Absolute Deviation (MAD)0.00176027
Skewness2.318161088
Sum-6373.492057
Variance0.0442904694
MonotonicityNot monotonic
2025-03-02T10:04:01.426855image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9999274 4
 
0.1%
-0.99997275 3
 
< 0.1%
-0.99995297 3
 
< 0.1%
-0.99989416 3
 
< 0.1%
-0.99995735 3
 
< 0.1%
-0.99993445 3
 
< 0.1%
-0.99995523 3
 
< 0.1%
-0.9999374 3
 
< 0.1%
-0.99997053 3
 
< 0.1%
-0.99993055 3
 
< 0.1%
Other values (7159) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999916 1
< 0.1%
-0.99999795 1
< 0.1%
-0.99999794 1
< 0.1%
-0.99999779 1
< 0.1%
ValueCountFrequency (%)
0.89173636 1
< 0.1%
0.74350463 1
< 0.1%
0.65370168 1
< 0.1%
0.59279274 1
< 0.1%
0.44454693 1
< 0.1%
Distinct7226
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8385558737
Minimum-1
Maximum0.90836103
Zeros0
Zeros (%)0.0%
Negative7265
Negative (%)98.8%
Memory size57.6 KiB
2025-03-02T10:04:01.469185image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99992351
Q1-0.9998083425
median-0.9978692
Q3-0.741151015
95-th percentile-0.2995497015
Maximum0.90836103
Range1.90836103
Interquartile range (IQR)0.2586573275

Descriptive statistics

Standard deviation0.2515564331
Coefficient of variation (CV)-0.2999876824
Kurtosis4.050087716
Mean-0.8385558737
Median Absolute Deviation (MAD)0.002071055
Skewness1.925518367
Sum-6165.062784
Variance0.06328063903
MonotonicityNot monotonic
2025-03-02T10:04:01.512686image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99987011 3
 
< 0.1%
-0.99988336 3
 
< 0.1%
-0.9999163 3
 
< 0.1%
-0.99981333 3
 
< 0.1%
-0.99990201 3
 
< 0.1%
-0.99989245 3
 
< 0.1%
-0.99980987 2
 
< 0.1%
-0.99990528 2
 
< 0.1%
-0.99992578 2
 
< 0.1%
-0.99987623 2
 
< 0.1%
Other values (7216) 7326
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999046 1
< 0.1%
-0.99998805 1
< 0.1%
-0.99998786 1
< 0.1%
-0.99998206 1
< 0.1%
ValueCountFrequency (%)
0.90836103 1
< 0.1%
0.89819509 1
< 0.1%
0.71416189 1
< 0.1%
0.70255033 1
< 0.1%
0.61350934 1
< 0.1%
Distinct7220
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9113863327
Minimum-1
Maximum0.88786954
Zeros0
Zeros (%)0.0%
Negative7335
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:01.554390image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999912878
Q1-0.9997846725
median-0.998318025
Q3-0.8716848425
95-th percentile-0.614981991
Maximum0.88786954
Range1.88786954
Interquartile range (IQR)0.12809983

Descriptive statistics

Standard deviation0.1506035123
Coefficient of variation (CV)-0.1652466215
Kurtosis14.61845062
Mean-0.9113863327
Median Absolute Deviation (MAD)0.00161329
Skewness2.994811171
Sum-6700.512318
Variance0.02268141793
MonotonicityNot monotonic
2025-03-02T10:04:01.596240image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99976792 3
 
< 0.1%
-0.99989178 3
 
< 0.1%
-0.99982031 3
 
< 0.1%
-0.99980188 2
 
< 0.1%
-0.99984768 2
 
< 0.1%
-0.999889 2
 
< 0.1%
-0.99985705 2
 
< 0.1%
-0.99979064 2
 
< 0.1%
-0.99983741 2
 
< 0.1%
-0.99988149 2
 
< 0.1%
Other values (7210) 7329
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999995 1
< 0.1%
-0.99999567 1
< 0.1%
-0.99999469 1
< 0.1%
-0.99998571 1
< 0.1%
ValueCountFrequency (%)
0.88786954 1
< 0.1%
0.81102711 1
< 0.1%
0.46871256 1
< 0.1%
0.29708557 1
< 0.1%
0.22806952 1
< 0.1%
Distinct7236
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9154580057
Minimum-1
Maximum0.63241538
Zeros0
Zeros (%)0.0%
Negative7329
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:04:01.714938image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99988636
Q1-0.9997189475
median-0.99834925
Q3-0.87558735
95-th percentile-0.649971986
Maximum0.63241538
Range1.63241538
Interquartile range (IQR)0.1241315975

Descriptive statistics

Standard deviation0.1465940274
Coefficient of variation (CV)-0.1601318974
Kurtosis18.29737689
Mean-0.9154580057
Median Absolute Deviation (MAD)0.00156442
Skewness3.379037971
Sum-6730.447258
Variance0.02148980887
MonotonicityNot monotonic
2025-03-02T10:04:01.757115image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99980813 3
 
< 0.1%
-0.99982628 3
 
< 0.1%
-0.99982365 3
 
< 0.1%
-0.99980516 3
 
< 0.1%
-0.99988964 3
 
< 0.1%
-0.99963841 2
 
< 0.1%
-0.99982426 2
 
< 0.1%
-0.99992024 2
 
< 0.1%
-0.99981806 2
 
< 0.1%
-0.99983959 2
 
< 0.1%
Other values (7226) 7327
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999522 1
< 0.1%
-0.99999104 1
< 0.1%
-0.99998974 1
< 0.1%
-0.99998863 1
< 0.1%
ValueCountFrequency (%)
0.63241538 1
< 0.1%
0.57755071 1
< 0.1%
0.53166897 1
< 0.1%
0.52746928 1
< 0.1%
0.49583926 1
< 0.1%
Distinct7285
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8758568722
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7300
Negative (%)99.3%
Memory size57.6 KiB
2025-03-02T10:04:01.800558image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999843498
Q1-0.99960589
median-0.997379305
Q3-0.80873215
95-th percentile-0.4755543485
Maximum1
Range2
Interquartile range (IQR)0.19087374

Descriptive statistics

Standard deviation0.2024188564
Coefficient of variation (CV)-0.2311095144
Kurtosis9.904217537
Mean-0.8758568722
Median Absolute Deviation (MAD)0.00250459
Skewness2.608591546
Sum-6439.299725
Variance0.04097339342
MonotonicityNot monotonic
2025-03-02T10:04:01.845964image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99977482 3
 
< 0.1%
-0.99954966 3
 
< 0.1%
-0.99969214 3
 
< 0.1%
-0.99974404 2
 
< 0.1%
-0.99960877 2
 
< 0.1%
-0.99987478 2
 
< 0.1%
-0.99966669 2
 
< 0.1%
-0.99967135 2
 
< 0.1%
-0.99978021 2
 
< 0.1%
-0.99962972 2
 
< 0.1%
Other values (7275) 7329
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999626 1
< 0.1%
-0.99999599 1
< 0.1%
-0.99998662 1
< 0.1%
-0.99997928 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90127383 1
< 0.1%
0.7734852 1
< 0.1%
0.7653169 1
< 0.1%
0.6770684 1
< 0.1%
Distinct7256
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9221853194
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7346
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:01.889388image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999196115
Q1-0.9997670425
median-0.998390995
Q3-0.88669171
95-th percentile-0.656891235
Maximum1
Range2
Interquartile range (IQR)0.1130753325

Descriptive statistics

Standard deviation0.1320457205
Coefficient of variation (CV)-0.1431878363
Kurtosis17.51563932
Mean-0.9221853194
Median Absolute Deviation (MAD)0.00154885
Skewness3.068681883
Sum-6779.906469
Variance0.01743607231
MonotonicityNot monotonic
2025-03-02T10:04:01.933681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99983209 3
 
< 0.1%
-0.99977034 3
 
< 0.1%
-0.99986358 3
 
< 0.1%
-0.99989239 3
 
< 0.1%
-0.99956707 2
 
< 0.1%
-0.9998587 2
 
< 0.1%
-0.99980392 2
 
< 0.1%
-0.99952398 2
 
< 0.1%
-0.99988833 2
 
< 0.1%
-0.99992598 2
 
< 0.1%
Other values (7246) 7328
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999547 1
< 0.1%
-0.99999299 1
< 0.1%
-0.99998928 1
< 0.1%
-0.99998924 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.70846307 1
< 0.1%
0.32375324 1
< 0.1%
0.25160161 1
< 0.1%
0.057300823 1
< 0.1%
Distinct6745
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9709683588
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7342
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:01.978119image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999733
Q1-0.99996551
median-0.999590175
Q3-0.98413284
95-th percentile-0.8486209335
Maximum1
Range2
Interquartile range (IQR)0.01583267

Descriptive statistics

Standard deviation0.09448650494
Coefficient of variation (CV)-0.097311621
Kurtosis120.3605297
Mean-0.9709683588
Median Absolute Deviation (MAD)0.000407815
Skewness8.817935789
Sum-7138.559374
Variance0.008927699615
MonotonicityNot monotonic
2025-03-02T10:04:02.022421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999879 6
 
0.1%
-0.99999632 6
 
0.1%
-0.99999433 5
 
0.1%
-0.9999961 5
 
0.1%
-0.99999724 4
 
0.1%
-0.99999969 4
 
0.1%
-0.99999405 4
 
0.1%
-0.99999961 4
 
0.1%
-0.99999928 4
 
0.1%
-0.99999846 4
 
0.1%
Other values (6735) 7306
99.4%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999998 1
< 0.1%
-0.99999997 1
< 0.1%
-0.99999994 1
< 0.1%
-0.99999993 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90093988 1
< 0.1%
0.83869955 1
< 0.1%
0.63217328 1
< 0.1%
0.42851709 1
< 0.1%
Distinct7178
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8411552892
Minimum-1
Maximum0.89789843
Zeros0
Zeros (%)0.0%
Negative7282
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:04:02.065136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999955977
Q1-0.9998586625
median-0.997388675
Q3-0.73850167
95-th percentile-0.373902678
Maximum0.89789843
Range1.89789843
Interquartile range (IQR)0.2613569925

Descriptive statistics

Standard deviation0.2316922832
Coefficient of variation (CV)-0.2754453145
Kurtosis4.631466254
Mean-0.8411552892
Median Absolute Deviation (MAD)0.002577785
Skewness1.907131453
Sum-6184.173686
Variance0.05368131409
MonotonicityNot monotonic
2025-03-02T10:04:02.106477image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9999345 4
 
0.1%
-0.99991112 3
 
< 0.1%
-0.99996866 3
 
< 0.1%
-0.99972099 3
 
< 0.1%
-0.99994811 3
 
< 0.1%
-0.99990334 3
 
< 0.1%
-0.99991797 3
 
< 0.1%
-0.99986128 3
 
< 0.1%
-0.99991949 3
 
< 0.1%
-0.99996324 3
 
< 0.1%
Other values (7168) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999753 1
< 0.1%
-0.99999718 1
< 0.1%
-0.99999683 1
< 0.1%
-0.9999951 1
< 0.1%
ValueCountFrequency (%)
0.89789843 1
< 0.1%
0.81890206 1
< 0.1%
0.73232782 1
< 0.1%
0.55909561 1
< 0.1%
0.54809487 1
< 0.1%
Distinct7225
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8404224606
Minimum-1
Maximum0.9303172
Zeros0
Zeros (%)0.0%
Negative7280
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:04:02.149082image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99989631
Q1-0.9997671375
median-0.997615225
Q3-0.737590205
95-th percentile-0.3282551255
Maximum0.9303172
Range1.9303172
Interquartile range (IQR)0.2621769325

Descriptive statistics

Standard deviation0.2430165081
Coefficient of variation (CV)-0.2891599398
Kurtosis4.03839124
Mean-0.8404224606
Median Absolute Deviation (MAD)0.002299305
Skewness1.877658075
Sum-6178.78593
Variance0.05905702321
MonotonicityNot monotonic
2025-03-02T10:04:02.192674image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99986984 3
 
< 0.1%
-0.99986817 3
 
< 0.1%
-0.99981256 3
 
< 0.1%
-0.99980199 3
 
< 0.1%
-0.99978955 2
 
< 0.1%
-0.9993819 2
 
< 0.1%
-0.99984452 2
 
< 0.1%
-0.99989977 2
 
< 0.1%
-0.99988122 2
 
< 0.1%
-0.99820962 2
 
< 0.1%
Other values (7215) 7328
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999666 1
< 0.1%
-0.99999347 1
< 0.1%
-0.99998691 1
< 0.1%
-0.99998621 1
< 0.1%
ValueCountFrequency (%)
0.9303172 1
< 0.1%
0.77629291 1
< 0.1%
0.62723435 1
< 0.1%
0.57925903 1
< 0.1%
0.57519331 1
< 0.1%
Distinct7271
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8782520486
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7304
Negative (%)99.3%
Memory size57.6 KiB
2025-03-02T10:04:02.235287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999863376
Q1-0.9996473975
median-0.997593725
Q3-0.8086183375
95-th percentile-0.49951115
Maximum1
Range2
Interquartile range (IQR)0.19102906

Descriptive statistics

Standard deviation0.1962505297
Coefficient of variation (CV)-0.2234558177
Kurtosis11.47159638
Mean-0.8782520486
Median Absolute Deviation (MAD)0.002301915
Skewness2.712039942
Sum-6456.909062
Variance0.03851427039
MonotonicityNot monotonic
2025-03-02T10:04:02.278962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99948888 3
 
< 0.1%
-0.99940036 2
 
< 0.1%
-0.99977872 2
 
< 0.1%
-0.99986482 2
 
< 0.1%
-0.99984791 2
 
< 0.1%
-0.99985485 2
 
< 0.1%
-0.99970246 2
 
< 0.1%
-0.9998227 2
 
< 0.1%
-0.99978583 2
 
< 0.1%
-0.9996558 2
 
< 0.1%
Other values (7261) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999825 1
< 0.1%
-0.99999571 1
< 0.1%
-0.99999513 1
< 0.1%
-0.99999101 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95749444 1
< 0.1%
0.77647526 1
< 0.1%
0.73855939 1
< 0.1%
0.62922398 1
< 0.1%
Distinct7233
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9283433203
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7348
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:02.322027image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999300915
Q1-0.999791415
median-0.998514185
Q3-0.895540505
95-th percentile-0.68690233
Maximum1
Range2
Interquartile range (IQR)0.10425091

Descriptive statistics

Standard deviation0.1217087479
Coefficient of variation (CV)-0.1311031655
Kurtosis19.99060947
Mean-0.9283433203
Median Absolute Deviation (MAD)0.001435975
Skewness3.174035234
Sum-6825.180091
Variance0.01481301932
MonotonicityNot monotonic
2025-03-02T10:04:02.365442image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99976558 3
 
< 0.1%
-0.99973428 3
 
< 0.1%
-0.9998416 3
 
< 0.1%
-0.99985762 3
 
< 0.1%
-0.9997181 2
 
< 0.1%
-0.99975049 2
 
< 0.1%
-0.99977989 2
 
< 0.1%
-0.99987538 2
 
< 0.1%
-0.99980306 2
 
< 0.1%
-0.99968501 2
 
< 0.1%
Other values (7223) 7328
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999968 1
< 0.1%
-0.9999971 1
< 0.1%
-0.99999438 1
< 0.1%
-0.9999942 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.61355278 1
< 0.1%
0.1599247 1
< 0.1%
0.094562046 1
< 0.1%
-0.060331167 1
< 0.1%
Distinct7206
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8133724905
Minimum-1
Maximum0.91489223
Zeros0
Zeros (%)0.0%
Negative7263
Negative (%)98.8%
Memory size57.6 KiB
2025-03-02T10:04:02.408224image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999254445
Q1-0.9998108475
median-0.99712619
Q3-0.6690629625
95-th percentile-0.296404349
Maximum0.91489223
Range1.91489223
Interquartile range (IQR)0.330747885

Descriptive statistics

Standard deviation0.2619964468
Coefficient of variation (CV)-0.3221112711
Kurtosis2.620865424
Mean-0.8133724905
Median Absolute Deviation (MAD)0.002812775
Skewness1.564641765
Sum-5979.91455
Variance0.06864213812
MonotonicityNot monotonic
2025-03-02T10:04:02.452004image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99978448 3
 
< 0.1%
-0.99988663 3
 
< 0.1%
-0.99991133 3
 
< 0.1%
-0.99986215 3
 
< 0.1%
-0.99981643 3
 
< 0.1%
-0.99990721 3
 
< 0.1%
-0.99988451 2
 
< 0.1%
-0.99971567 2
 
< 0.1%
-0.99988072 2
 
< 0.1%
-0.99984014 2
 
< 0.1%
Other values (7196) 7326
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999808 1
< 0.1%
-0.9999752 1
< 0.1%
-0.99997478 1
< 0.1%
-0.99997274 1
< 0.1%
ValueCountFrequency (%)
0.91489223 1
< 0.1%
0.76932658 1
< 0.1%
0.7210105 1
< 0.1%
0.63857376 1
< 0.1%
0.54782626 1
< 0.1%
Distinct7240
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8974274065
Minimum-1
Maximum0.80737469
Zeros0
Zeros (%)0.0%
Negative7330
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:04:02.494045image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9998993005
Q1-0.99974582
median-0.998019965
Q3-0.8384304325
95-th percentile-0.5856771525
Maximum0.80737469
Range1.80737469
Interquartile range (IQR)0.1613153875

Descriptive statistics

Standard deviation0.1635703106
Coefficient of variation (CV)-0.1822657849
Kurtosis10.86224999
Mean-0.8974274065
Median Absolute Deviation (MAD)0.001904205
Skewness2.61388522
Sum-6597.886293
Variance0.02675524651
MonotonicityNot monotonic
2025-03-02T10:04:02.535797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99984773 3
 
< 0.1%
-0.99977266 3
 
< 0.1%
-0.99978947 2
 
< 0.1%
-0.99976383 2
 
< 0.1%
-0.9996778 2
 
< 0.1%
-0.99973265 2
 
< 0.1%
-0.99976765 2
 
< 0.1%
-0.9997807 2
 
< 0.1%
-0.99980718 2
 
< 0.1%
-0.99985697 2
 
< 0.1%
Other values (7230) 7330
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999614 1
< 0.1%
-0.99999591 1
< 0.1%
-0.999993 1
< 0.1%
-0.99999147 1
< 0.1%
ValueCountFrequency (%)
0.80737469 1
< 0.1%
0.7450923 1
< 0.1%
0.46539674 1
< 0.1%
0.36745927 1
< 0.1%
0.36378331 1
< 0.1%
Distinct7252
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8968360506
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7317
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:04:02.577675image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999148785
Q1-0.999782315
median-0.9973519
Q3-0.856046155
95-th percentile-0.5565915545
Maximum1
Range2
Interquartile range (IQR)0.14373616

Descriptive statistics

Standard deviation0.1760598869
Coefficient of variation (CV)-0.1963122321
Kurtosis13.48051133
Mean-0.8968360506
Median Absolute Deviation (MAD)0.002586065
Skewness2.985275573
Sum-6593.538644
Variance0.03099708378
MonotonicityNot monotonic
2025-03-02T10:04:02.621388image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99991384 3
 
< 0.1%
-0.99990052 3
 
< 0.1%
-0.99985552 3
 
< 0.1%
-0.99982928 2
 
< 0.1%
-0.9998746 2
 
< 0.1%
-0.99973648 2
 
< 0.1%
-0.99988926 2
 
< 0.1%
-0.99964188 2
 
< 0.1%
-0.99980584 2
 
< 0.1%
-0.99988603 2
 
< 0.1%
Other values (7242) 7329
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999136 1
< 0.1%
-0.9999909 1
< 0.1%
-0.99998467 1
< 0.1%
-0.99998283 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.67651555 1
< 0.1%
0.6721202 1
< 0.1%
0.66619429 1
< 0.1%
0.58353921 1
< 0.1%
Distinct7240
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8962653412
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7306
Negative (%)99.4%
Memory size57.6 KiB
2025-03-02T10:04:02.664527image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999884008
Q1-0.9997218375
median-0.99808854
Q3-0.85382699
95-th percentile-0.5381821
Maximum1
Range2
Interquartile range (IQR)0.1458948475

Descriptive statistics

Standard deviation0.1860106953
Coefficient of variation (CV)-0.2075397617
Kurtosis13.46814255
Mean-0.8962653412
Median Absolute Deviation (MAD)0.001828185
Skewness3.098079073
Sum-6589.342788
Variance0.03459997877
MonotonicityNot monotonic
2025-03-02T10:04:02.708048image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99986091 3
 
< 0.1%
-0.99979321 3
 
< 0.1%
-0.99977074 3
 
< 0.1%
-0.99983766 2
 
< 0.1%
-0.99985585 2
 
< 0.1%
-0.99980127 2
 
< 0.1%
-0.99948498 2
 
< 0.1%
-0.99985017 2
 
< 0.1%
-0.99966914 2
 
< 0.1%
-0.9998226 2
 
< 0.1%
Other values (7230) 7329
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999389 1
< 0.1%
-0.99999324 1
< 0.1%
-0.99999206 1
< 0.1%
-0.99999107 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.85152959 1
< 0.1%
0.73485023 1
< 0.1%
0.58685226 1
< 0.1%
0.51875587 1
< 0.1%
Distinct7203
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.928005978
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7335
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:02.750748image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999081325
Q1-0.9997854025
median-0.998915935
Q3-0.912161545
95-th percentile-0.669912285
Maximum1
Range2
Interquartile range (IQR)0.0876238575

Descriptive statistics

Standard deviation0.1434528703
Coefficient of variation (CV)-0.1545818386
Kurtosis21.65658078
Mean-0.928005978
Median Absolute Deviation (MAD)0.00101233
Skewness3.824846881
Sum-6822.69995
Variance0.020578726
MonotonicityNot monotonic
2025-03-02T10:04:02.794460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99980176 3
 
< 0.1%
-0.99977967 3
 
< 0.1%
-0.99984587 3
 
< 0.1%
-0.99994 3
 
< 0.1%
-0.99991478 3
 
< 0.1%
-0.99980568 2
 
< 0.1%
-0.99985208 2
 
< 0.1%
-0.99979666 2
 
< 0.1%
-0.99988673 2
 
< 0.1%
-0.99958454 2
 
< 0.1%
Other values (7193) 7327
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999998 1
< 0.1%
-0.99998932 1
< 0.1%
-0.99998832 1
< 0.1%
-0.99998822 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.56015605 1
< 0.1%
0.4558426 1
< 0.1%
0.38403512 1
< 0.1%
0.34731694 1
< 0.1%
Distinct7177
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9613201584
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:02.916852image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999915362
Q1-0.9998156825
median-0.99918974
Q3-0.95575579
95-th percentile-0.815857113
Maximum1
Range2
Interquartile range (IQR)0.0440598925

Descriptive statistics

Standard deviation0.08652469657
Coefficient of variation (CV)-0.09000611899
Kurtosis70.6080973
Mean-0.9613201584
Median Absolute Deviation (MAD)0.00074264
Skewness6.059899135
Sum-7067.625805
Variance0.007486523116
MonotonicityNot monotonic
2025-03-02T10:04:02.962200image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99987197 3
 
< 0.1%
-0.99982203 3
 
< 0.1%
-0.99984676 3
 
< 0.1%
-0.99986239 2
 
< 0.1%
-0.99966904 2
 
< 0.1%
-0.99992411 2
 
< 0.1%
-0.9997197 2
 
< 0.1%
-0.99981716 2
 
< 0.1%
-0.99987803 2
 
< 0.1%
-0.99988086 2
 
< 0.1%
Other values (7167) 7329
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999865 1
< 0.1%
-0.99999604 1
< 0.1%
-0.99998828 1
< 0.1%
-0.99998463 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.41060193 1
< 0.1%
0.10522627 1
< 0.1%
0.097878352 1
< 0.1%
0.027156836 1
< 0.1%
Distinct7212
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9651727399
Minimum-0.99998949
Maximum1
Zeros0
Zeros (%)0.0%
Negative7348
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:03.006224image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99998949
5-th percentile-0.999902896
Q1-0.99977379
median-0.999070515
Q3-0.9600602425
95-th percentile-0.848492773
Maximum1
Range1.99998949
Interquartile range (IQR)0.0397135475

Descriptive statistics

Standard deviation0.08071103431
Coefficient of variation (CV)-0.08362340851
Kurtosis116.1628195
Mean-0.9651727399
Median Absolute Deviation (MAD)0.000850265
Skewness7.753596242
Sum-7095.949984
Variance0.00651427106
MonotonicityNot monotonic
2025-03-02T10:04:03.051615image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99986755 3
 
< 0.1%
-0.99973377 3
 
< 0.1%
-0.99978932 2
 
< 0.1%
-0.99975022 2
 
< 0.1%
-0.99989604 2
 
< 0.1%
-0.99979906 2
 
< 0.1%
-0.9997994 2
 
< 0.1%
-0.9998444 2
 
< 0.1%
-0.99984701 2
 
< 0.1%
-0.99984519 2
 
< 0.1%
Other values (7202) 7330
99.7%
ValueCountFrequency (%)
-0.99998949 1
< 0.1%
-0.99998877 1
< 0.1%
-0.99998812 1
< 0.1%
-0.99998751 1
< 0.1%
-0.99998483 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.83695625 1
< 0.1%
0.27795619 1
< 0.1%
0.21129286 1
< 0.1%
-0.038590542 1
< 0.1%
Distinct7275
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9386160133
Minimum-0.99999894
Maximum1
Zeros0
Zeros (%)0.0%
Negative7335
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:03.095668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999894
5-th percentile-0.9998119095
Q1-0.999576485
median-0.998239205
Q3-0.92378081
95-th percentile-0.713157737
Maximum1
Range1.99999894
Interquartile range (IQR)0.075795675

Descriptive statistics

Standard deviation0.1232511082
Coefficient of variation (CV)-0.1313115337
Kurtosis34.77509183
Mean-0.9386160133
Median Absolute Deviation (MAD)0.001604185
Skewness4.533735414
Sum-6900.70493
Variance0.01519083568
MonotonicityNot monotonic
2025-03-02T10:04:03.138536image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99973595 3
 
< 0.1%
-0.9997964 2
 
< 0.1%
-0.99955279 2
 
< 0.1%
-0.99946469 2
 
< 0.1%
-0.9997241 2
 
< 0.1%
-0.99965366 2
 
< 0.1%
-0.99956611 2
 
< 0.1%
-0.99935925 2
 
< 0.1%
-0.99981155 2
 
< 0.1%
-0.9997895 2
 
< 0.1%
Other values (7265) 7331
99.7%
ValueCountFrequency (%)
-0.99999894 1
< 0.1%
-0.99998873 1
< 0.1%
-0.99997898 1
< 0.1%
-0.99996523 1
< 0.1%
-0.99996522 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.82374174 1
< 0.1%
0.55663529 1
< 0.1%
0.45606343 1
< 0.1%
0.3240574 1
< 0.1%
Distinct7300
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9290044358
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7332
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:04:03.181826image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99980743
Q1-0.9994929925
median-0.99787355
Q3-0.9139178325
95-th percentile-0.6754680605
Maximum1
Range2
Interquartile range (IQR)0.08557516

Descriptive statistics

Standard deviation0.1403881248
Coefficient of variation (CV)-0.1511167433
Kurtosis24.36950965
Mean-0.9290044358
Median Absolute Deviation (MAD)0.00198077
Skewness3.980460314
Sum-6830.040612
Variance0.01970882559
MonotonicityNot monotonic
2025-03-02T10:04:03.225277image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99926819 3
 
< 0.1%
-0.99957933 2
 
< 0.1%
-0.99927381 2
 
< 0.1%
-0.9996281 2
 
< 0.1%
-0.99967645 2
 
< 0.1%
-0.99945389 2
 
< 0.1%
-0.99977204 2
 
< 0.1%
-0.99956014 2
 
< 0.1%
-0.99947741 2
 
< 0.1%
-0.99981613 2
 
< 0.1%
Other values (7290) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999771 1
< 0.1%
-0.99999619 1
< 0.1%
-0.99998024 1
< 0.1%
-0.99997559 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.57042521 1
< 0.1%
0.51827049 1
< 0.1%
0.51726376 1
< 0.1%
0.46568106 1
< 0.1%
Distinct7045
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9694940397
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7332
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:04:03.268021image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999936245
Q1-0.999927555
median-0.999397
Q3-0.986985035
95-th percentile-0.8472218565
Maximum1
Range2
Interquartile range (IQR)0.01294252

Descriptive statistics

Standard deviation0.1057672289
Coefficient of variation (CV)-0.1090952853
Kurtosis92.40271928
Mean-0.9694940397
Median Absolute Deviation (MAD)0.000595455
Skewness8.10008529
Sum-7127.72018
Variance0.0111867067
MonotonicityNot monotonic
2025-03-02T10:04:03.312473image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999567 4
 
0.1%
-0.99999904 4
 
0.1%
-0.9999976 3
 
< 0.1%
-0.99997509 3
 
< 0.1%
-0.99999055 3
 
< 0.1%
-0.99999772 3
 
< 0.1%
-0.99999744 3
 
< 0.1%
-0.99997119 3
 
< 0.1%
-0.99987066 3
 
< 0.1%
-0.99994477 3
 
< 0.1%
Other values (7035) 7320
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999999 1
< 0.1%
-0.99999995 1
< 0.1%
-0.99999992 1
< 0.1%
-0.99999991 2
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93376564 1
< 0.1%
0.70650158 1
< 0.1%
0.65357499 1
< 0.1%
0.54227759 1
< 0.1%
Distinct7260
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8746428126
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7280
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:04:03.356673image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9998809125
Q1-0.9997150425
median-0.99732134
Q3-0.81526934
95-th percentile-0.459731214
Maximum1
Range2
Interquartile range (IQR)0.1844457025

Descriptive statistics

Standard deviation0.2091788088
Coefficient of variation (CV)-0.2391591239
Kurtosis9.588686307
Mean-0.8746428126
Median Absolute Deviation (MAD)0.00259188
Skewness2.681562965
Sum-6430.373958
Variance0.04375577403
MonotonicityNot monotonic
2025-03-02T10:04:03.400163image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99977536 3
 
< 0.1%
-0.9996526 3
 
< 0.1%
-0.99976476 2
 
< 0.1%
-0.99992112 2
 
< 0.1%
-0.99990099 2
 
< 0.1%
-0.99976901 2
 
< 0.1%
-0.99991042 2
 
< 0.1%
-0.99961165 2
 
< 0.1%
-0.99973155 2
 
< 0.1%
-0.99994555 2
 
< 0.1%
Other values (7250) 7330
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999972 1
< 0.1%
-0.99999376 1
< 0.1%
-0.99999116 1
< 0.1%
-0.99998789 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.7162419 1
< 0.1%
0.69281019 1
< 0.1%
0.65248513 1
< 0.1%
0.60201514 1
< 0.1%
Distinct7175
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.944322927
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7346
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:03.442791image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999924306
Q1-0.9998278925
median-0.999077965
Q3-0.9279574825
95-th percentile-0.743179812
Maximum1
Range2
Interquartile range (IQR)0.07187041

Descriptive statistics

Standard deviation0.1104400843
Coefficient of variation (CV)-0.1169516075
Kurtosis31.75308659
Mean-0.944322927
Median Absolute Deviation (MAD)0.00086281
Skewness4.216489953
Sum-6942.662159
Variance0.01219701222
MonotonicityNot monotonic
2025-03-02T10:04:03.486926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99990703 3
 
< 0.1%
-0.99987098 3
 
< 0.1%
-0.99984577 3
 
< 0.1%
-0.99990071 3
 
< 0.1%
-0.99987948 3
 
< 0.1%
-0.99992647 3
 
< 0.1%
-0.99986767 3
 
< 0.1%
-0.99979253 2
 
< 0.1%
-0.99988396 2
 
< 0.1%
-0.99984056 2
 
< 0.1%
Other values (7165) 7325
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999863 1
< 0.1%
-0.99999363 1
< 0.1%
-0.99999306 1
< 0.1%
-0.99999241 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.48702714 1
< 0.1%
0.1345794 1
< 0.1%
0.10498527 1
< 0.1%
0.025758913 1
< 0.1%
Distinct7244
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9548204422
Minimum-0.99996684
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:03.530525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99996684
5-th percentile-0.999848418
Q1-0.9997061025
median-0.99877905
Q3-0.94395008
95-th percentile-0.8023897985
Maximum1
Range1.99996684
Interquartile range (IQR)0.0557560225

Descriptive statistics

Standard deviation0.09533068844
Coefficient of variation (CV)-0.09984148247
Kurtosis71.33787393
Mean-0.9548204422
Median Absolute Deviation (MAD)0.001092425
Skewness6.072194747
Sum-7019.839891
Variance0.009087940159
MonotonicityNot monotonic
2025-03-02T10:04:03.574435image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99963502 3
 
< 0.1%
-0.99982812 2
 
< 0.1%
-0.99984344 2
 
< 0.1%
-0.99977961 2
 
< 0.1%
-0.99984134 2
 
< 0.1%
-0.99980272 2
 
< 0.1%
-0.99962327 2
 
< 0.1%
-0.99979106 2
 
< 0.1%
-0.99979118 2
 
< 0.1%
-0.99971809 2
 
< 0.1%
Other values (7234) 7331
99.7%
ValueCountFrequency (%)
-0.99996684 1
< 0.1%
-0.99996085 1
< 0.1%
-0.9999592 2
< 0.1%
-0.99995321 1
< 0.1%
-0.99995252 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95604214 1
< 0.1%
0.28777264 1
< 0.1%
0.23214196 1
< 0.1%
0.053123101 1
< 0.1%
Distinct7299
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9291414712
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7335
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:03.617544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999808797
Q1-0.999496475
median-0.997867955
Q3-0.913290735
95-th percentile-0.676693917
Maximum1
Range2
Interquartile range (IQR)0.08620574

Descriptive statistics

Standard deviation0.1398896869
Coefficient of variation (CV)-0.1505580057
Kurtosis24.56798826
Mean-0.9291414712
Median Absolute Deviation (MAD)0.00198656
Skewness3.985204734
Sum-6831.048096
Variance0.0195691245
MonotonicityNot monotonic
2025-03-02T10:04:03.661259image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99984378 2
 
< 0.1%
-0.99975046 2
 
< 0.1%
-0.99966505 2
 
< 0.1%
-0.99970297 2
 
< 0.1%
-0.99924402 2
 
< 0.1%
-0.99970593 2
 
< 0.1%
-0.99983668 2
 
< 0.1%
-0.99944279 2
 
< 0.1%
-0.99956257 2
 
< 0.1%
-0.99930572 2
 
< 0.1%
Other values (7289) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999689 1
< 0.1%
-0.99998054 1
< 0.1%
-0.99997245 1
< 0.1%
-0.99997172 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.61121869 1
< 0.1%
0.55007993 1
< 0.1%
0.52753462 1
< 0.1%
0.46705184 1
< 0.1%
Distinct7239
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8951235817
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7319
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:04:03.704290image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999899259
Q1-0.999761115
median-0.998031735
Q3-0.8443346275
95-th percentile-0.5512076955
Maximum1
Range2
Interquartile range (IQR)0.1554264875

Descriptive statistics

Standard deviation0.1796300328
Coefficient of variation (CV)-0.2006762379
Kurtosis11.26539128
Mean-0.8951235817
Median Absolute Deviation (MAD)0.001889595
Skewness2.843913564
Sum-6580.948573
Variance0.0322669487
MonotonicityNot monotonic
2025-03-02T10:04:03.747671image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99979658 3
 
< 0.1%
-0.99982797 3
 
< 0.1%
-0.9998303 3
 
< 0.1%
-0.99982241 3
 
< 0.1%
-0.99981078 3
 
< 0.1%
-0.99991196 3
 
< 0.1%
-0.99979458 2
 
< 0.1%
-0.99982489 2
 
< 0.1%
-0.9997973 2
 
< 0.1%
-0.99979445 2
 
< 0.1%
Other values (7229) 7326
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999982 1
< 0.1%
-0.99999908 1
< 0.1%
-0.99999566 1
< 0.1%
-0.99999281 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.67176385 1
< 0.1%
0.50598317 1
< 0.1%
0.4784397 1
< 0.1%
0.46750716 1
< 0.1%
Distinct7189
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9587921982
Minimum-0.99999585
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:03.790308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999585
5-th percentile-0.999899059
Q1-0.9997974625
median-0.999064415
Q3-0.9490128375
95-th percentile-0.8109407325
Maximum1
Range1.99999585
Interquartile range (IQR)0.050784625

Descriptive statistics

Standard deviation0.08739195749
Coefficient of variation (CV)-0.09114796476
Kurtosis72.25497298
Mean-0.9587921982
Median Absolute Deviation (MAD)0.00085364
Skewness5.990461056
Sum-7049.040242
Variance0.007637354235
MonotonicityNot monotonic
2025-03-02T10:04:03.834566image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99974914 3
 
< 0.1%
-0.99971285 3
 
< 0.1%
-0.99986909 3
 
< 0.1%
-0.99982022 3
 
< 0.1%
-0.99984099 3
 
< 0.1%
-0.99977455 2
 
< 0.1%
-0.99988142 2
 
< 0.1%
-0.99994736 2
 
< 0.1%
-0.99984097 2
 
< 0.1%
-0.99980721 2
 
< 0.1%
Other values (7179) 7327
99.7%
ValueCountFrequency (%)
-0.99999585 1
< 0.1%
-0.99999254 1
< 0.1%
-0.99998329 1
< 0.1%
-0.99997905 1
< 0.1%
-0.99997843 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.62488284 1
< 0.1%
0.17247087 1
< 0.1%
0.041908042 1
< 0.1%
0.025279015 1
< 0.1%

fBodyGyro-mean()-X
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6730228417
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7091
Negative (%)96.4%
Memory size57.6 KiB
2025-03-02T10:04:03.878088image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9967173545
Q1-0.9862024975
median-0.902181585
Q3-0.384163395
95-th percentile-0.06090410475
Maximum1
Range2
Interquartile range (IQR)0.6020391025

Descriptive statistics

Standard deviation0.3573892999
Coefficient of variation (CV)-0.5310210556
Kurtosis-0.1945514036
Mean-0.6730228417
Median Absolute Deviation (MAD)0.095143325
Skewness0.7973303574
Sum-4948.063932
Variance0.1277271117
MonotonicityNot monotonic
2025-03-02T10:04:03.922547image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99688714 2
 
< 0.1%
-0.98657442 1
 
< 0.1%
-0.95517805 1
 
< 0.1%
-0.89873341 1
 
< 0.1%
-0.92904821 1
 
< 0.1%
-0.88420878 1
 
< 0.1%
-0.82156177 1
 
< 0.1%
-0.86144127 1
 
< 0.1%
-0.95911523 1
 
< 0.1%
-0.97663842 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99955507 1
< 0.1%
-0.99952286 1
< 0.1%
-0.99951222 1
< 0.1%
-0.99948077 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96155991 1
< 0.1%
0.92225019 1
< 0.1%
0.89093678 1
< 0.1%
0.82693067 1
< 0.1%

fBodyGyro-mean()-Y
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7019274
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7037
Negative (%)95.7%
Memory size57.6 KiB
2025-03-02T10:04:03.966118image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9960491625
Q1-0.9860262825
median-0.92483374
Q3-0.466150985
95-th percentile-0.029596695
Maximum1
Range2
Interquartile range (IQR)0.5198752975

Descriptive statistics

Standard deviation0.3473202453
Coefficient of variation (CV)-0.4948093568
Kurtosis0.7879468368
Mean-0.7019274
Median Absolute Deviation (MAD)0.071642245
Skewness1.121060154
Sum-5160.570245
Variance0.1206313528
MonotonicityNot monotonic
2025-03-02T10:04:04.010798image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99185308 2
 
< 0.1%
-0.98077238 2
 
< 0.1%
-0.99491883 2
 
< 0.1%
-0.98176153 1
 
< 0.1%
-0.9160628 1
 
< 0.1%
-0.88713307 1
 
< 0.1%
-0.89692417 1
 
< 0.1%
-0.95507171 1
 
< 0.1%
-0.96030974 1
 
< 0.1%
-0.9804742 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99994487 1
< 0.1%
-0.99987263 1
< 0.1%
-0.99985387 1
< 0.1%
-0.99983908 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97670705 1
< 0.1%
0.92568869 1
< 0.1%
0.88152378 1
< 0.1%
0.79852494 1
< 0.1%

fBodyGyro-mean()-Z
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6459208412
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6975
Negative (%)94.9%
Memory size57.6 KiB
2025-03-02T10:04:04.140834image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995920081
Q1-0.98684487
median-0.89375083
Q3-0.3133302525
95-th percentile0.005916007635
Maximum1
Range2
Interquartile range (IQR)0.6735146175

Descriptive statistics

Standard deviation0.3856548373
Coefficient of variation (CV)-0.5970620743
Kurtosis-0.5485882151
Mean-0.6459208412
Median Absolute Deviation (MAD)0.102363995
Skewness0.7220663693
Sum-4748.810025
Variance0.1487296535
MonotonicityNot monotonic
2025-03-02T10:04:04.186195image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.96430201 2
 
< 0.1%
-0.99410898 2
 
< 0.1%
-0.98951478 1
 
< 0.1%
-0.98677102 1
 
< 0.1%
-0.92862816 1
 
< 0.1%
-0.92395363 1
 
< 0.1%
-0.92260844 1
 
< 0.1%
-0.94034102 1
 
< 0.1%
-0.97579975 1
 
< 0.1%
-0.98231739 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99982244 1
< 0.1%
-0.99963929 1
< 0.1%
-0.99951483 1
< 0.1%
-0.9994837 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93956728 1
< 0.1%
0.88407805 1
< 0.1%
0.87199048 1
< 0.1%
0.82260889 1
< 0.1%

fBodyGyro-std()-X
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7379859874
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7256
Negative (%)98.7%
Memory size57.6 KiB
2025-03-02T10:04:04.229460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9977529725
Q1-0.9888514325
median-0.91441909
Q3-0.517877775
95-th percentile-0.200733579
Maximum1
Range2
Interquartile range (IQR)0.4709736575

Descriptive statistics

Standard deviation0.2913873382
Coefficient of variation (CV)-0.3948412885
Kurtosis0.09820601873
Mean-0.7379859874
Median Absolute Deviation (MAD)0.083798735
Skewness0.9060031529
Sum-5425.672979
Variance0.08490658084
MonotonicityNot monotonic
2025-03-02T10:04:04.273881image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99801824 2
 
< 0.1%
-0.98503264 1
 
< 0.1%
-0.98451171 1
 
< 0.1%
-0.75114884 1
 
< 0.1%
-0.74459149 1
 
< 0.1%
-0.87005436 1
 
< 0.1%
-0.90228865 1
 
< 0.1%
-0.8579071 1
 
< 0.1%
-0.77249342 1
 
< 0.1%
-0.808804 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99985687 1
< 0.1%
-0.99980348 1
< 0.1%
-0.99975804 1
< 0.1%
-0.9996405 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.84590242 1
< 0.1%
0.56163585 1
< 0.1%
0.48953817 1
< 0.1%
0.47187709 1
< 0.1%

fBodyGyro-std()-Y
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6662835434
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6797
Negative (%)92.5%
Memory size57.6 KiB
2025-03-02T10:04:04.317492image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995850117
Q1-0.9826004975
median-0.913219185
Q3-0.4252741525
95-th percentile0.1050462025
Maximum1
Range2
Interquartile range (IQR)0.557326345

Descriptive statistics

Standard deviation0.3856934183
Coefficient of variation (CV)-0.578872797
Kurtosis0.4937174887
Mean-0.6662835434
Median Absolute Deviation (MAD)0.08318963
Skewness1.087560711
Sum-4898.516611
Variance0.1487594129
MonotonicityNot monotonic
2025-03-02T10:04:04.361340image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99406402 2
 
< 0.1%
-0.99268369 2
 
< 0.1%
-0.97388607 1
 
< 0.1%
-0.90462585 1
 
< 0.1%
-0.88442866 1
 
< 0.1%
-0.87193533 1
 
< 0.1%
-0.87405998 1
 
< 0.1%
-0.90176871 1
 
< 0.1%
-0.93992672 1
 
< 0.1%
-0.95250781 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99996787 1
< 0.1%
-0.99994108 1
< 0.1%
-0.99974369 1
< 0.1%
-0.99969817 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99901047 1
< 0.1%
0.8982496 1
< 0.1%
0.8947265 1
< 0.1%
0.86788417 1
< 0.1%

fBodyGyro-std()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6908876105
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7160
Negative (%)97.4%
Memory size57.6 KiB
2025-03-02T10:04:04.404468image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9971427065
Q1-0.98792559
median-0.89940909
Q3-0.41348108
95-th percentile-0.136912872
Maximum1
Range2
Interquartile range (IQR)0.57444451

Descriptive statistics

Standard deviation0.3418495481
Coefficient of variation (CV)-0.494797624
Kurtosis0.5378097976
Mean-0.6908876105
Median Absolute Deviation (MAD)0.098011515
Skewness0.9446931495
Sum-5079.405712
Variance0.1168611136
MonotonicityNot monotonic
2025-03-02T10:04:04.449149image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99403493 1
 
< 0.1%
-0.82903972 1
 
< 0.1%
-0.87564863 1
 
< 0.1%
-0.93247589 1
 
< 0.1%
-0.92202117 1
 
< 0.1%
-0.8902842 1
 
< 0.1%
-0.90508908 1
 
< 0.1%
-0.97564592 1
 
< 0.1%
-0.98241333 1
 
< 0.1%
-0.98754674 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999057 1
< 0.1%
-0.99992006 1
< 0.1%
-0.99985423 1
< 0.1%
-0.99974029 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94811194 1
< 0.1%
0.91543677 1
< 0.1%
0.91094293 1
< 0.1%
0.91052228 1
< 0.1%

fBodyGyro-mad()-X
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6873137667
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7113
Negative (%)96.7%
Memory size57.6 KiB
2025-03-02T10:04:04.493009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9973350855
Q1-0.9870950175
median-0.90267919
Q3-0.4092758
95-th percentile-0.0959574684
Maximum1
Range2
Interquartile range (IQR)0.5778192175

Descriptive statistics

Standard deviation0.3410266438
Coefficient of variation (CV)-0.4961731603
Kurtosis-0.3136879114
Mean-0.6873137667
Median Absolute Deviation (MAD)0.095195405
Skewness0.7777299692
Sum-5053.130813
Variance0.1162991718
MonotonicityNot monotonic
2025-03-02T10:04:04.537644image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.97378017 2
 
< 0.1%
-0.98653085 1
 
< 0.1%
-0.97268531 1
 
< 0.1%
-0.79943623 1
 
< 0.1%
-0.87441189 1
 
< 0.1%
-0.92271969 1
 
< 0.1%
-0.849219 1
 
< 0.1%
-0.75097912 1
 
< 0.1%
-0.81666467 1
 
< 0.1%
-0.95586247 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99990692 1
< 0.1%
-0.99985606 1
< 0.1%
-0.99982247 1
< 0.1%
-0.99979548 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87597537 1
< 0.1%
0.82946239 1
< 0.1%
0.78043343 1
< 0.1%
0.74525604 1
< 0.1%

fBodyGyro-mad()-Y
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7067838558
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7089
Negative (%)96.4%
Memory size57.6 KiB
2025-03-02T10:04:04.581126image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9962928205
Q1-0.9857322875
median-0.926456825
Q3-0.486474615
95-th percentile-0.07144840515
Maximum1
Range2
Interquartile range (IQR)0.4992576725

Descriptive statistics

Standard deviation0.3388294957
Coefficient of variation (CV)-0.4793962015
Kurtosis0.5693520947
Mean-0.7067838558
Median Absolute Deviation (MAD)0.07031133
Skewness1.074931828
Sum-5196.274908
Variance0.1148054272
MonotonicityNot monotonic
2025-03-02T10:04:04.625854image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99587559 2
 
< 0.1%
-0.98361636 1
 
< 0.1%
-0.96204412 1
 
< 0.1%
-0.94672141 1
 
< 0.1%
-0.90801474 1
 
< 0.1%
-0.8828704 1
 
< 0.1%
-0.87769679 1
 
< 0.1%
-0.89997278 1
 
< 0.1%
-0.94787584 1
 
< 0.1%
-0.95795584 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99989812 1
< 0.1%
-0.99985137 1
< 0.1%
-0.9998061 1
< 0.1%
-0.99966036 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86012952 1
< 0.1%
0.76882216 1
< 0.1%
0.76366612 1
< 0.1%
0.67309317 1
< 0.1%

fBodyGyro-mad()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6418241287
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7010
Negative (%)95.3%
Memory size57.6 KiB
2025-03-02T10:04:04.669597image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996388605
Q1-0.9869341175
median-0.893562145
Q3-0.3023548575
95-th percentile-0.01278955325
Maximum1
Range2
Interquartile range (IQR)0.68457926

Descriptive statistics

Standard deviation0.3893730514
Coefficient of variation (CV)-0.606666272
Kurtosis-0.4766075189
Mean-0.6418241287
Median Absolute Deviation (MAD)0.103106845
Skewness0.7242654034
Sum-4718.690994
Variance0.1516113732
MonotonicityNot monotonic
2025-03-02T10:04:04.713970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99235201 1
 
< 0.1%
-0.87100662 1
 
< 0.1%
-0.87466138 1
 
< 0.1%
-0.91767436 1
 
< 0.1%
-0.90726708 1
 
< 0.1%
-0.89158004 1
 
< 0.1%
-0.92003671 1
 
< 0.1%
-0.97450463 1
 
< 0.1%
-0.97970824 1
 
< 0.1%
-0.98340633 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99971593 1
< 0.1%
-0.99962345 1
< 0.1%
-0.99948042 1
< 0.1%
-0.99946697 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96027404 1
< 0.1%
0.9182279 1
< 0.1%
0.85893269 1
< 0.1%
0.83064021 1
< 0.1%

fBodyGyro-max()-X
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7346275832
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7174
Negative (%)97.6%
Memory size57.6 KiB
2025-03-02T10:04:04.757422image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9976910465
Q1-0.9891147
median-0.916926385
Q3-0.5306971475
95-th percentile-0.1382579765
Maximum1
Range2
Interquartile range (IQR)0.4584175525

Descriptive statistics

Standard deviation0.3097519563
Coefficient of variation (CV)-0.4216448761
Kurtosis0.710585831
Mean-0.7346275832
Median Absolute Deviation (MAD)0.08125046
Skewness1.121934252
Sum-5400.981992
Variance0.09594627441
MonotonicityNot monotonic
2025-03-02T10:04:04.802164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99836499 2
 
< 0.1%
-0.99462864 2
 
< 0.1%
-0.99653539 2
 
< 0.1%
-0.99808855 2
 
< 0.1%
-0.98049843 1
 
< 0.1%
-0.9700845 1
 
< 0.1%
-0.79809204 1
 
< 0.1%
-0.96557921 1
 
< 0.1%
-0.98059254 1
 
< 0.1%
-0.98757073 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99973501 1
< 0.1%
-0.99968563 1
< 0.1%
-0.99965007 1
< 0.1%
-0.99964075 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99715453 1
< 0.1%
0.68542446 1
< 0.1%
0.67067805 1
< 0.1%
0.60547336 1
< 0.1%

fBodyGyro-max()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7255217649
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7022
Negative (%)95.5%
Memory size57.6 KiB
2025-03-02T10:04:04.845964image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996442546
Q1-0.9850210575
median-0.923801415
Q3-0.55540892
95-th percentile-0.03516289765
Maximum1
Range2
Interquartile range (IQR)0.4296121375

Descriptive statistics

Standard deviation0.3411597832
Coefficient of variation (CV)-0.4702268074
Kurtosis2.525953026
Mean-0.7255217649
Median Absolute Deviation (MAD)0.07308231
Skewness1.565633017
Sum-5334.036016
Variance0.1163899977
MonotonicityNot monotonic
2025-03-02T10:04:04.890346image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.97227092 1
 
< 0.1%
-0.95375652 1
 
< 0.1%
-0.90840547 1
 
< 0.1%
-0.90886207 1
 
< 0.1%
-0.92764725 1
 
< 0.1%
-0.95330385 1
 
< 0.1%
-0.96740635 1
 
< 0.1%
-0.98984856 1
 
< 0.1%
-0.98231866 1
 
< 0.1%
-0.98557267 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99982795 1
< 0.1%
-0.9996224 1
< 0.1%
-0.99959617 1
< 0.1%
-0.99950815 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9376687 1
< 0.1%
0.92319738 1
< 0.1%
0.89692516 1
< 0.1%
0.88155896 1
< 0.1%

fBodyGyro-max()-Z
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7647255622
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7260
Negative (%)98.7%
Memory size57.6 KiB
2025-03-02T10:04:04.933860image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99765463
Q1-0.989864845
median-0.917377405
Q3-0.579817195
95-th percentile-0.279132721
Maximum1
Range2
Interquartile range (IQR)0.41004765

Descriptive statistics

Standard deviation0.2777020968
Coefficient of variation (CV)-0.3631395504
Kurtosis3.0148953
Mean-0.7647255622
Median Absolute Deviation (MAD)0.08046586
Skewness1.448983815
Sum-5622.262333
Variance0.07711845457
MonotonicityNot monotonic
2025-03-02T10:04:04.978676image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99561554 2
 
< 0.1%
-0.99136024 2
 
< 0.1%
-0.99343014 2
 
< 0.1%
-0.30735163 2
 
< 0.1%
-0.98117635 1
 
< 0.1%
-0.98630068 1
 
< 0.1%
-0.90578781 1
 
< 0.1%
-0.83106574 1
 
< 0.1%
-0.81298808 1
 
< 0.1%
-0.91719917 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998079 1
< 0.1%
-0.99996426 1
< 0.1%
-0.99978983 1
< 0.1%
-0.99978088 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97911581 1
< 0.1%
0.82309314 1
< 0.1%
0.80130399 1
< 0.1%
0.78743009 1
< 0.1%

fBodyGyro-min()-X
Real number (ℝ)

Distinct7342
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.932140331
Minimum-0.99999996
Maximum0.46519723
Zeros0
Zeros (%)0.0%
Negative7345
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:05.021638image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999996
5-th percentile-0.999432618
Q1-0.99710299
median-0.98305413
Q3-0.90692208
95-th percentile-0.721365697
Maximum0.46519723
Range1.46519719
Interquartile range (IQR)0.09018091

Descriptive statistics

Standard deviation0.1117144041
Coefficient of variation (CV)-0.1198471951
Kurtosis19.71097316
Mean-0.932140331
Median Absolute Deviation (MAD)0.01615622
Skewness3.482173617
Sum-6853.095713
Variance0.01248010809
MonotonicityNot monotonic
2025-03-02T10:04:05.063005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99880994 2
 
< 0.1%
-0.99932888 2
 
< 0.1%
-0.99577844 2
 
< 0.1%
-0.99866989 2
 
< 0.1%
-0.99831287 2
 
< 0.1%
-0.9975587 2
 
< 0.1%
-0.98758261 2
 
< 0.1%
-0.99873161 2
 
< 0.1%
-0.92731456 2
 
< 0.1%
-0.999233 2
 
< 0.1%
Other values (7332) 7332
99.7%
ValueCountFrequency (%)
-0.99999996 1
< 0.1%
-0.99999974 1
< 0.1%
-0.99999485 1
< 0.1%
-0.99999329 1
< 0.1%
-0.99999325 1
< 0.1%
ValueCountFrequency (%)
0.46519723 1
< 0.1%
0.31428418 1
< 0.1%
0.21088345 1
< 0.1%
0.16040378 1
< 0.1%
0.09564348 1
< 0.1%

fBodyGyro-min()-Y
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8986184411
Minimum-0.9999967
Maximum0.79449806
Zeros0
Zeros (%)0.0%
Negative7326
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:04:05.104333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9999967
5-th percentile-0.999013437
Q1-0.99491771
median-0.97499649
Q3-0.861145715
95-th percentile-0.5756095155
Maximum0.79449806
Range1.79449476
Interquartile range (IQR)0.133771995

Descriptive statistics

Standard deviation0.1626164563
Coefficient of variation (CV)-0.1809627411
Kurtosis13.92596466
Mean-0.8986184411
Median Absolute Deviation (MAD)0.023474725
Skewness3.038007032
Sum-6606.642779
Variance0.02644411185
MonotonicityNot monotonic
2025-03-02T10:04:05.146167image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99827071 2
 
< 0.1%
-0.99380448 2
 
< 0.1%
-0.99841592 2
 
< 0.1%
-0.99619801 2
 
< 0.1%
-0.99954609 2
 
< 0.1%
-0.98656506 1
 
< 0.1%
-0.98681083 1
 
< 0.1%
-0.98284424 1
 
< 0.1%
-0.99635951 1
 
< 0.1%
-0.99489238 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-0.9999967 1
< 0.1%
-0.99999483 1
< 0.1%
-0.99999318 1
< 0.1%
-0.99998783 1
< 0.1%
-0.9999841 1
< 0.1%
ValueCountFrequency (%)
0.79449806 1
< 0.1%
0.62234871 1
< 0.1%
0.59028125 1
< 0.1%
0.55280471 1
< 0.1%
0.52628504 1
< 0.1%

fBodyGyro-min()-Z
Real number (ℝ)

Distinct7344
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9078266956
Minimum-0.99999972
Maximum1
Zeros0
Zeros (%)0.0%
Negative7336
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:05.190131image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999972
5-th percentile-0.9989633765
Q1-0.994938915
median-0.972246725
Q3-0.87033925
95-th percentile-0.6380238685
Maximum1
Range1.99999972
Interquartile range (IQR)0.124599665

Descriptive statistics

Standard deviation0.1424761265
Coefficient of variation (CV)-0.1569419882
Kurtosis17.11400484
Mean-0.9078266956
Median Absolute Deviation (MAD)0.026138735
Skewness3.174013321
Sum-6674.341866
Variance0.02029944663
MonotonicityNot monotonic
2025-03-02T10:04:05.317773image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99839956 2
 
< 0.1%
-0.99310121 2
 
< 0.1%
-0.99648456 2
 
< 0.1%
-0.99432129 2
 
< 0.1%
-0.99798208 2
 
< 0.1%
-0.99649288 2
 
< 0.1%
-0.99811487 2
 
< 0.1%
-0.99872714 2
 
< 0.1%
-0.98552187 1
 
< 0.1%
-0.99048937 1
 
< 0.1%
Other values (7334) 7334
99.8%
ValueCountFrequency (%)
-0.99999972 1
< 0.1%
-0.99999664 1
< 0.1%
-0.99999661 1
< 0.1%
-0.99999485 1
< 0.1%
-0.99999264 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.68651412 1
< 0.1%
0.36724795 1
< 0.1%
0.35966594 1
< 0.1%
0.27385833 1
< 0.1%

fBodyGyro-sma()
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6590736463
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7023
Negative (%)95.5%
Memory size57.6 KiB
2025-03-02T10:04:05.360814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9963024865
Q1-0.9858196475
median-0.909380295
Q3-0.3431239675
95-th percentile-0.0251881506
Maximum1
Range2
Interquartile range (IQR)0.64269568

Descriptive statistics

Standard deviation0.3694116147
Coefficient of variation (CV)-0.5605012684
Kurtosis-0.6475668712
Mean-0.6590736463
Median Absolute Deviation (MAD)0.087319775
Skewness0.6905663777
Sum-4845.509447
Variance0.1364649411
MonotonicityNot monotonic
2025-03-02T10:04:05.404942image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99697217 2
 
< 0.1%
-0.98527621 1
 
< 0.1%
-0.89154636 1
 
< 0.1%
-0.90608803 1
 
< 0.1%
-0.89300754 1
 
< 0.1%
-0.896383 1
 
< 0.1%
-0.9176869 1
 
< 0.1%
-0.97130855 1
 
< 0.1%
-0.98002164 1
 
< 0.1%
-0.98081619 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99973047 1
< 0.1%
-0.99971539 1
< 0.1%
-0.99957598 1
< 0.1%
-0.99938332 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.91259981 1
< 0.1%
0.79693277 1
< 0.1%
0.77265462 1
< 0.1%
0.7384023 1
< 0.1%

fBodyGyro-energy()-X
Real number (ℝ)

Distinct7089
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9136355312
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7340
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:05.448108image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999992098
Q1-0.9999057825
median-0.99591982
Q3-0.862946245
95-th percentile-0.6530026215
Maximum1
Range2
Interquartile range (IQR)0.1369595375

Descriptive statistics

Standard deviation0.1353722587
Coefficient of variation (CV)-0.1481687764
Kurtosis17.21377161
Mean-0.9136355312
Median Absolute Deviation (MAD)0.004075945
Skewness2.955551136
Sum-6717.048426
Variance0.01832564844
MonotonicityNot monotonic
2025-03-02T10:04:05.491391image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999553 4
 
0.1%
-0.99998946 4
 
0.1%
-0.99999618 4
 
0.1%
-0.99999504 4
 
0.1%
-0.9999857 3
 
< 0.1%
-0.99999355 3
 
< 0.1%
-0.99999393 3
 
< 0.1%
-0.99999387 3
 
< 0.1%
-0.99999733 3
 
< 0.1%
-0.99997578 3
 
< 0.1%
Other values (7079) 7318
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999949 1
< 0.1%
-0.99999943 1
< 0.1%
-0.99999914 1
< 0.1%
-0.9999991 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.77991388 1
< 0.1%
0.27850294 1
< 0.1%
0.1906253 1
< 0.1%
0.14748637 1
< 0.1%

fBodyGyro-energy()-Y
Real number (ℝ)

Distinct7223
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8780040862
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7284
Negative (%)99.1%
Memory size57.6 KiB
2025-03-02T10:04:05.534645image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999806115
Q1-0.9998212175
median-0.99639294
Q3-0.83653826
95-th percentile-0.463358516
Maximum1
Range2
Interquartile range (IQR)0.1632829575

Descriptive statistics

Standard deviation0.2058120319
Coefficient of variation (CV)-0.2344089682
Kurtosis10.40303912
Mean-0.8780040862
Median Absolute Deviation (MAD)0.003594885
Skewness2.750694726
Sum-6455.086041
Variance0.04235859247
MonotonicityNot monotonic
2025-03-02T10:04:05.577941image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998719 4
 
0.1%
-0.99996128 3
 
< 0.1%
-0.99995727 3
 
< 0.1%
-0.99998598 3
 
< 0.1%
-0.999986 3
 
< 0.1%
-0.99991246 3
 
< 0.1%
-0.99997885 3
 
< 0.1%
-0.99999119 3
 
< 0.1%
-0.99998051 2
 
< 0.1%
-0.99997015 2
 
< 0.1%
Other values (7213) 7323
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999997 1
< 0.1%
-0.99999993 1
< 0.1%
-0.99999953 1
< 0.1%
-0.99999917 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86981847 1
< 0.1%
0.8582507 1
< 0.1%
0.80162791 1
< 0.1%
0.66544674 1
< 0.1%

fBodyGyro-energy()-Z
Real number (ℝ)

Distinct7220
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8681880631
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7271
Negative (%)98.9%
Memory size57.6 KiB
2025-03-02T10:04:05.620692image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999978348
Q1-0.9998538625
median-0.993492635
Q3-0.77530449
95-th percentile-0.5506393645
Maximum1
Range2
Interquartile range (IQR)0.2245493725

Descriptive statistics

Standard deviation0.2059007316
Coefficient of variation (CV)-0.2371614404
Kurtosis15.14117487
Mean-0.8681880631
Median Absolute Deviation (MAD)0.006492475
Skewness3.056574224
Sum-6382.91864
Variance0.04239511126
MonotonicityNot monotonic
2025-03-02T10:04:05.664315image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997689 3
 
< 0.1%
-0.99998196 3
 
< 0.1%
-0.99998249 3
 
< 0.1%
-0.99998361 3
 
< 0.1%
-0.99997324 3
 
< 0.1%
-0.99997135 3
 
< 0.1%
-0.9999718 2
 
< 0.1%
-0.99997844 2
 
< 0.1%
-0.99997887 2
 
< 0.1%
-0.99998606 2
 
< 0.1%
Other values (7210) 7326
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999946 1
< 0.1%
-0.99999894 1
< 0.1%
-0.99999833 1
< 0.1%
-0.99999807 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92207172 1
< 0.1%
0.88347881 1
< 0.1%
0.87064362 1
< 0.1%
0.81574261 1
< 0.1%

fBodyGyro-iqr()-X
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7093904818
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7107
Negative (%)96.7%
Memory size57.6 KiB
2025-03-02T10:04:05.707368image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9970680965
Q1-0.9900289975
median-0.94100553
Q3-0.4564612575
95-th percentile-0.07462975295
Maximum1
Range2
Interquartile range (IQR)0.53356774

Descriptive statistics

Standard deviation0.341548556
Coefficient of variation (CV)-0.4814676327
Kurtosis0.5449213512
Mean-0.7093904818
Median Absolute Deviation (MAD)0.056584995
Skewness1.049266138
Sum-5215.438822
Variance0.1166554161
MonotonicityNot monotonic
2025-03-02T10:04:05.751698image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99631938 2
 
< 0.1%
-0.99557014 2
 
< 0.1%
-0.99034389 1
 
< 0.1%
-0.98871822 1
 
< 0.1%
-0.96564332 1
 
< 0.1%
-0.97670165 1
 
< 0.1%
-0.97370038 1
 
< 0.1%
-0.9771647 1
 
< 0.1%
-0.97562571 1
 
< 0.1%
-0.98100574 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999374 1
< 0.1%
-0.99983285 1
< 0.1%
-0.99982734 1
< 0.1%
-0.99978099 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96892813 1
< 0.1%
0.96800679 1
< 0.1%
0.89541118 1
< 0.1%
0.83461419 1
< 0.1%

fBodyGyro-iqr()-Y
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.751877167
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7121
Negative (%)96.9%
Memory size57.6 KiB
2025-03-02T10:04:05.794015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9971081685
Q1-0.99103885
median-0.948341
Q3-0.57541424
95-th percentile-0.126595066
Maximum1
Range2
Interquartile range (IQR)0.41562461

Descriptive statistics

Standard deviation0.3148515952
Coefficient of variation (CV)-0.4187540319
Kurtosis2.470393411
Mean-0.751877167
Median Absolute Deviation (MAD)0.049157615
Skewness1.515087985
Sum-5527.800932
Variance0.09913152699
MonotonicityNot monotonic
2025-03-02T10:04:05.838586image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98615471 2
 
< 0.1%
-0.98600268 2
 
< 0.1%
-0.99483569 1
 
< 0.1%
-0.96149119 1
 
< 0.1%
-0.91819171 1
 
< 0.1%
-0.88908127 1
 
< 0.1%
-0.90441386 1
 
< 0.1%
-0.97263914 1
 
< 0.1%
-0.96506534 1
 
< 0.1%
-0.98085721 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99985923 1
< 0.1%
-0.99980069 1
< 0.1%
-0.99970517 1
< 0.1%
-0.9997028 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94752216 1
< 0.1%
0.92007271 1
< 0.1%
0.90604791 1
< 0.1%
0.89575467 1
< 0.1%

fBodyGyro-iqr()-Z
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6992875542
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7035
Negative (%)95.7%
Memory size57.6 KiB
2025-03-02T10:04:05.881340image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9962671645
Q1-0.990449515
median-0.939347755
Q3-0.4380797825
95-th percentile-0.03649089845
Maximum1
Range2
Interquartile range (IQR)0.5523697325

Descriptive statistics

Standard deviation0.3543091422
Coefficient of variation (CV)-0.5066715975
Kurtosis0.42241833
Mean-0.6992875542
Median Absolute Deviation (MAD)0.05739499
Skewness1.039495065
Sum-5141.162098
Variance0.1255349682
MonotonicityNot monotonic
2025-03-02T10:04:05.925682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99505315 2
 
< 0.1%
-0.98615094 2
 
< 0.1%
-0.99429636 2
 
< 0.1%
-0.99394589 2
 
< 0.1%
-0.99482305 2
 
< 0.1%
-0.99441158 1
 
< 0.1%
-0.98089102 1
 
< 0.1%
-0.98556493 1
 
< 0.1%
-0.99000398 1
 
< 0.1%
-0.99123663 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99969125 1
< 0.1%
-0.99965559 1
< 0.1%
-0.99955365 1
< 0.1%
-0.99930816 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94251638 1
< 0.1%
0.89031207 1
< 0.1%
0.87737334 1
< 0.1%
0.76252873 1
< 0.1%

fBodyGyro-entropy()-X
Real number (ℝ)

Distinct4485
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1077622378
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3920
Negative (%)53.3%
Memory size57.6 KiB
2025-03-02T10:04:05.968049image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.95391262
Q1-0.712930165
median-0.205097145
Q30.5132575175
95-th percentile0.682172405
Maximum1
Range2
Interquartile range (IQR)1.226187682

Descriptive statistics

Standard deviation0.614929239
Coefficient of variation (CV)-5.706351796
Kurtosis-1.678568079
Mean-0.1077622378
Median Absolute Deviation (MAD)0.62488513
Skewness-0.01191849976
Sum-792.2679721
Variance0.378137969
MonotonicityNot monotonic
2025-03-02T10:04:06.011818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.95391262 242
 
3.3%
-0.92037074 189
 
2.6%
-1 185
 
2.5%
-0.89165479 126
 
1.7%
-0.86612578 108
 
1.5%
-0.84300659 76
 
1.0%
-0.82184063 70
 
1.0%
-0.80232713 63
 
0.9%
-0.84600044 55
 
0.7%
-0.7572848 53
 
0.7%
Other values (4475) 6185
84.1%
ValueCountFrequency (%)
-1 185
2.5%
-0.95391262 242
3.3%
-0.92037074 189
2.6%
-0.90796726 32
 
0.4%
-0.89165479 126
1.7%
ValueCountFrequency (%)
1 1
< 0.1%
0.97823329 1
< 0.1%
0.93510257 1
< 0.1%
0.9334612 1
< 0.1%
0.93016145 1
< 0.1%

fBodyGyro-entropy()-Y
Real number (ℝ)

Distinct4495
Distinct (%)61.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05908101458
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3902
Negative (%)53.1%
Memory size57.6 KiB
2025-03-02T10:04:06.054985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.89492156
Q1-0.66064667
median-0.160476455
Q30.560279255
95-th percentile0.7681307515
Maximum1
Range2
Interquartile range (IQR)1.220925925

Descriptive statistics

Standard deviation0.6188037576
Coefficient of variation (CV)-10.47381738
Kurtosis-1.649225189
Mean-0.05908101458
Median Absolute Deviation (MAD)0.622487745
Skewness0.008567936807
Sum-434.3636192
Variance0.3829180904
MonotonicityNot monotonic
2025-03-02T10:04:06.099479image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.95530222 118
 
1.6%
-0.92277168 114
 
1.6%
-0.89492156 110
 
1.5%
-1 80
 
1.1%
-0.84774017 76
 
1.0%
-0.87016227 72
 
1.0%
-0.85064374 70
 
1.0%
-0.80375407 69
 
0.9%
-0.82721239 65
 
0.9%
-0.80828724 61
 
0.8%
Other values (4485) 6517
88.6%
ValueCountFrequency (%)
-1 80
1.1%
-0.95530222 118
1.6%
-0.92277168 114
1.6%
-0.91074218 36
 
0.5%
-0.89492156 110
1.5%
ValueCountFrequency (%)
1 1
< 0.1%
0.99705142 1
< 0.1%
0.99657277 1
< 0.1%
0.98736984 1
< 0.1%
0.98502193 1
< 0.1%

fBodyGyro-entropy()-Z
Real number (ℝ)

Distinct4288
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1619476477
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4016
Negative (%)54.6%
Memory size57.6 KiB
2025-03-02T10:04:06.141869image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.95273437
Q1-0.77873748
median-0.26751664
Q30.4477816675
95-th percentile0.6471420995
Maximum1
Range2
Interquartile range (IQR)1.226519147

Descriptive statistics

Standard deviation0.6085437089
Coefficient of variation (CV)-3.75765698
Kurtosis-1.685473637
Mean-0.1619476477
Median Absolute Deviation (MAD)0.62136825
Skewness0.03752433021
Sum-1190.639106
Variance0.3703254457
MonotonicityNot monotonic
2025-03-02T10:04:06.186039image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.95273437 313
 
4.3%
-0.91833498 288
 
3.9%
-0.88888489 225
 
3.1%
-1 186
 
2.5%
-0.86270321 173
 
2.4%
-0.83899298 119
 
1.6%
-0.8172859 81
 
1.1%
-0.81603462 81
 
1.1%
-0.84206336 69
 
0.9%
-0.79727352 63
 
0.9%
Other values (4278) 5754
78.3%
ValueCountFrequency (%)
-1 186
2.5%
-0.95273437 313
4.3%
-0.91833498 288
3.9%
-0.9056144 53
 
0.7%
-0.88888489 225
3.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94288174 1
< 0.1%
0.93639711 1
< 0.1%
0.92358337 1
< 0.1%
0.92126487 1
< 0.1%

fBodyGyro-maxInds-X
Real number (ℝ)

Distinct27
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8745284723
Minimum-1
Maximum1
Zeros8
Zeros (%)0.1%
Negative7310
Negative (%)99.4%
Memory size57.6 KiB
2025-03-02T10:04:06.225664image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.93333333
Q3-0.86666667
95-th percentile-0.46666667
Maximum1
Range2
Interquartile range (IQR)0.13333333

Descriptive statistics

Standard deviation0.1982110732
Coefficient of variation (CV)-0.2266490794
Kurtosis10.85456103
Mean-0.8745284723
Median Absolute Deviation (MAD)0.06666667
Skewness2.698859713
Sum-6429.533328
Variance0.03928762953
MonotonicityNot monotonic
2025-03-02T10:04:06.263681image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1 3065
41.7%
-0.93333333 2037
27.7%
-0.86666667 603
 
8.2%
-0.6 291
 
4.0%
-0.8 274
 
3.7%
-0.66666667 249
 
3.4%
-0.73333333 228
 
3.1%
-0.53333333 176
 
2.4%
-0.33333333 109
 
1.5%
-0.26666667 85
 
1.2%
Other values (17) 235
 
3.2%
ValueCountFrequency (%)
-1 3065
41.7%
-0.93333333 2037
27.7%
-0.86666667 603
 
8.2%
-0.8 274
 
3.7%
-0.73333333 228
 
3.1%
ValueCountFrequency (%)
1 3
< 0.1%
0.86666667 1
 
< 0.1%
0.73333333 1
 
< 0.1%
0.6 4
0.1%
0.46666667 3
< 0.1%

fBodyGyro-maxInds-Y
Real number (ℝ)

Distinct29
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8109006982
Minimum-1
Maximum0.80645161
Zeros0
Zeros (%)0.0%
Negative7078
Negative (%)96.3%
Memory size57.6 KiB
2025-03-02T10:04:06.302288image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.93548387
Q3-0.74193548
95-th percentile-0.096774194
Maximum0.80645161
Range1.80645161
Interquartile range (IQR)0.25806452

Descriptive statistics

Standard deviation0.2823075116
Coefficient of variation (CV)-0.3481406691
Kurtosis4.566025027
Mean-0.8109006982
Median Absolute Deviation (MAD)0.06451613
Skewness2.144263696
Sum-5961.741933
Variance0.07969753113
MonotonicityNot monotonic
2025-03-02T10:04:06.341180image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-1 2510
34.1%
-0.93548387 2046
27.8%
-0.61290323 589
 
8.0%
-0.87096774 414
 
5.6%
-0.80645161 312
 
4.2%
-0.74193548 282
 
3.8%
-0.67741935 234
 
3.2%
-0.5483871 169
 
2.3%
-0.48387097 108
 
1.5%
0.032258065 91
 
1.2%
Other values (19) 597
 
8.1%
ValueCountFrequency (%)
-1 2510
34.1%
-0.93548387 2046
27.8%
-0.87096774 414
 
5.6%
-0.80645161 312
 
4.2%
-0.74193548 282
 
3.8%
ValueCountFrequency (%)
0.80645161 1
 
< 0.1%
0.74193548 4
0.1%
0.67741935 1
 
< 0.1%
0.61290323 2
< 0.1%
0.5483871 2
< 0.1%

fBodyGyro-maxInds-Z
Real number (ℝ)

Distinct25
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8052512099
Minimum-1
Maximum0.65517241
Zeros0
Zeros (%)0.0%
Negative7240
Negative (%)98.5%
Memory size57.6 KiB
2025-03-02T10:04:06.378696image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.93103448
Q3-0.65517241
95-th percentile-0.37931034
Maximum0.65517241
Range1.65517241
Interquartile range (IQR)0.34482759

Descriptive statistics

Standard deviation0.2397590594
Coefficient of variation (CV)-0.2977444261
Kurtosis3.873840715
Mean-0.8052512099
Median Absolute Deviation (MAD)0.06896552
Skewness1.746269557
Sum-5920.206895
Variance0.05748440654
MonotonicityNot monotonic
2025-03-02T10:04:06.413804image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-1 2426
33.0%
-0.93103448 1541
21.0%
-0.5862069 760
 
10.3%
-0.79310345 589
 
8.0%
-0.86206897 414
 
5.6%
-0.65517241 404
 
5.5%
-0.72413793 337
 
4.6%
-0.51724138 247
 
3.4%
-0.44827586 209
 
2.8%
-0.37931034 115
 
1.6%
Other values (15) 310
 
4.2%
ValueCountFrequency (%)
-1 2426
33.0%
-0.93103448 1541
21.0%
-0.86206897 414
 
5.6%
-0.79310345 589
 
8.0%
-0.72413793 337
 
4.6%
ValueCountFrequency (%)
0.65517241 1
 
< 0.1%
0.5862069 1
 
< 0.1%
0.51724138 5
0.1%
0.44827586 1
 
< 0.1%
0.37931034 3
< 0.1%

fBodyGyro-meanFreq()-X
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1012117499
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4803
Negative (%)65.3%
Memory size57.6 KiB
2025-03-02T10:04:06.530559image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.5313010985
Q1-0.2737030125
median-0.0990980345
Q30.07030147025
95-th percentile0.3191961585
Maximum1
Range2
Interquartile range (IQR)0.3440044828

Descriptive statistics

Standard deviation0.2592516667
Coefficient of variation (CV)-2.561477959
Kurtosis0.1027503374
Mean-0.1012117499
Median Absolute Deviation (MAD)0.1725345955
Skewness0.002390864738
Sum-744.1087855
Variance0.06721142666
MonotonicityNot monotonic
2025-03-02T10:04:06.574023image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.25754888 1
 
< 0.1%
-0.87686736 1
 
< 0.1%
-0.65542405 1
 
< 0.1%
-0.369264 1
 
< 0.1%
-0.65729281 1
 
< 0.1%
-0.78787617 1
 
< 0.1%
-0.71631326 1
 
< 0.1%
-0.34301627 1
 
< 0.1%
-0.094914826 1
 
< 0.1%
-0.28431817 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99404039 1
< 0.1%
-0.98145731 1
< 0.1%
-0.94624395 1
< 0.1%
-0.92606304 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98394006 1
< 0.1%
0.92811204 1
< 0.1%
0.89395624 1
< 0.1%
0.85479432 1
< 0.1%

fBodyGyro-meanFreq()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1771433023
Minimum-1
Maximum0.99374103
Zeros0
Zeros (%)0.0%
Negative5406
Negative (%)73.5%
Memory size57.6 KiB
2025-03-02T10:04:06.617105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6404251375
Q1-0.3666201125
median-0.17607359
Q30.011204584
95-th percentile0.2748953095
Maximum0.99374103
Range1.99374103
Interquartile range (IQR)0.3778246965

Descriptive statistics

Standard deviation0.2759698274
Coefficient of variation (CV)-1.557890271
Kurtosis-0.07075673721
Mean-0.1771433023
Median Absolute Deviation (MAD)0.189093387
Skewness-0.002502967878
Sum-1302.357559
Variance0.07615934561
MonotonicityNot monotonic
2025-03-02T10:04:06.660017image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.097947109 1
 
< 0.1%
-0.53465592 1
 
< 0.1%
-0.47273226 1
 
< 0.1%
-0.42843149 1
 
< 0.1%
-0.2809638 1
 
< 0.1%
-0.56203282 1
 
< 0.1%
-0.39278975 1
 
< 0.1%
0.13275274 1
 
< 0.1%
-0.035398468 1
 
< 0.1%
-0.19726533 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99522973 1
< 0.1%
-0.99158755 1
< 0.1%
-0.97244526 1
< 0.1%
-0.97242168 1
< 0.1%
ValueCountFrequency (%)
0.99374103 1
< 0.1%
0.77582502 1
< 0.1%
0.77310551 1
< 0.1%
0.69703565 1
< 0.1%
0.68124324 1
< 0.1%

fBodyGyro-meanFreq()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04845817204
Minimum-0.96634502
Maximum1
Zeros0
Zeros (%)0.0%
Negative4283
Negative (%)58.3%
Memory size57.6 KiB
2025-03-02T10:04:06.703143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.96634502
5-th percentile-0.48559622
Q1-0.2274798125
median-0.05102902
Q30.12570945
95-th percentile0.395345322
Maximum1
Range1.96634502
Interquartile range (IQR)0.3531892625

Descriptive statistics

Standard deviation0.2659903897
Coefficient of variation (CV)-5.489071883
Kurtosis0.02614519529
Mean-0.04845817204
Median Absolute Deviation (MAD)0.176530185
Skewness0.0184156782
Sum-356.2644809
Variance0.0707508874
MonotonicityNot monotonic
2025-03-02T10:04:06.747313image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.54715105 1
 
< 0.1%
-0.90687438 1
 
< 0.1%
-0.6027923 1
 
< 0.1%
-0.3569362 1
 
< 0.1%
-0.47191892 1
 
< 0.1%
-0.7494064 1
 
< 0.1%
-0.7018273 1
 
< 0.1%
-0.10163188 1
 
< 0.1%
-0.19860019 1
 
< 0.1%
-0.14903251 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.96634502 1
< 0.1%
-0.96347699 1
< 0.1%
-0.92307499 1
< 0.1%
-0.90735561 1
< 0.1%
-0.90687438 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.8611237 1
< 0.1%
0.81814488 1
< 0.1%
0.8173932 1
< 0.1%
0.81715649 1
< 0.1%

fBodyGyro-skewness()-X
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1746960616
Minimum-1
Maximum0.92089008
Zeros0
Zeros (%)0.0%
Negative5310
Negative (%)72.2%
Memory size57.6 KiB
2025-03-02T10:04:06.790866image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.640710181
Q1-0.4139124025
median-0.21711274
Q30.03465479375
95-th percentile0.417921964
Maximum0.92089008
Range1.92089008
Interquartile range (IQR)0.4485671962

Descriptive statistics

Standard deviation0.323716079
Coefficient of variation (CV)-1.853024482
Kurtosis-0.1897708565
Mean-0.1746960616
Median Absolute Deviation (MAD)0.219336165
Skewness0.4865462687
Sum-1284.365445
Variance0.1047920998
MonotonicityNot monotonic
2025-03-02T10:04:06.834110image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.37731121 1
 
< 0.1%
0.62774133 1
 
< 0.1%
0.021846902 1
 
< 0.1%
0.71732823 1
 
< 0.1%
-0.033509495 1
 
< 0.1%
-0.083105373 1
 
< 0.1%
0.096362089 1
 
< 0.1%
-0.1961475 1
 
< 0.1%
-0.21806657 1
 
< 0.1%
-0.31427194 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99830199 1
< 0.1%
-0.99069817 1
< 0.1%
-0.97254723 1
< 0.1%
-0.94051576 1
< 0.1%
ValueCountFrequency (%)
0.92089008 1
< 0.1%
0.90806871 1
< 0.1%
0.90388401 1
< 0.1%
0.88914796 1
< 0.1%
0.87305253 1
< 0.1%

fBodyGyro-kurtosis()-X
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4913592527
Minimum-1
Maximum0.8944949
Zeros0
Zeros (%)0.0%
Negative6588
Negative (%)89.6%
Memory size57.6 KiB
2025-03-02T10:04:06.876607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.8887318695
Q1-0.75375715
median-0.581073355
Q3-0.3018928925
95-th percentile0.1950156175
Maximum0.8944949
Range1.8944949
Interquartile range (IQR)0.4518642575

Descriptive statistics

Standard deviation0.3407728304
Coefficient of variation (CV)-0.6935309116
Kurtosis0.7176963979
Mean-0.4913592527
Median Absolute Deviation (MAD)0.202409885
Skewness1.06055705
Sum-3612.473226
Variance0.1161261219
MonotonicityNot monotonic
2025-03-02T10:04:06.918361image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.13409154 1
 
< 0.1%
0.42529446 1
 
< 0.1%
-0.43417417 1
 
< 0.1%
0.60595889 1
 
< 0.1%
-0.44472893 1
 
< 0.1%
-0.5039661 1
 
< 0.1%
-0.3055656 1
 
< 0.1%
-0.61317928 1
 
< 0.1%
-0.60332255 1
 
< 0.1%
-0.68041933 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.98793738 1
< 0.1%
-0.98528746 1
< 0.1%
-0.98441335 1
< 0.1%
-0.98398926 1
< 0.1%
ValueCountFrequency (%)
0.8944949 1
< 0.1%
0.87338646 1
< 0.1%
0.86828989 1
< 0.1%
0.83020525 1
< 0.1%
0.82718817 1
< 0.1%

fBodyGyro-skewness()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.172800482
Minimum-1
Maximum0.98132937
Zeros0
Zeros (%)0.0%
Negative5269
Negative (%)71.7%
Memory size57.6 KiB
2025-03-02T10:04:06.960937image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6220298995
Q1-0.44418065
median-0.24084846
Q30.0408303675
95-th percentile0.5066962475
Maximum0.98132937
Range1.98132937
Interquartile range (IQR)0.4850110175

Descriptive statistics

Standard deviation0.3467481993
Coefficient of variation (CV)-2.006639075
Kurtosis-0.05518712982
Mean-0.172800482
Median Absolute Deviation (MAD)0.234590195
Skewness0.7307301037
Sum-1270.429144
Variance0.1202343137
MonotonicityNot monotonic
2025-03-02T10:04:07.004265image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.27337197 1
 
< 0.1%
-0.28709578 1
 
< 0.1%
-0.33874273 1
 
< 0.1%
-0.4014789 1
 
< 0.1%
-0.4871571 1
 
< 0.1%
-0.22518447 1
 
< 0.1%
-0.29722873 1
 
< 0.1%
-0.57379667 1
 
< 0.1%
-0.15497827 1
 
< 0.1%
-0.49173121 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.94688225 1
< 0.1%
-0.90768007 1
< 0.1%
-0.86203714 1
< 0.1%
-0.8598607 1
< 0.1%
ValueCountFrequency (%)
0.98132937 1
< 0.1%
0.97529022 1
< 0.1%
0.95506855 1
< 0.1%
0.94302553 1
< 0.1%
0.94201073 1
< 0.1%

fBodyGyro-kurtosis()-Y
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5282105092
Minimum-0.99821279
Maximum0.97760819
Zeros0
Zeros (%)0.0%
Negative6543
Negative (%)89.0%
Memory size57.6 KiB
2025-03-02T10:04:07.047836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99821279
5-th percentile-0.916342652
Q1-0.81346219
median-0.651751435
Q3-0.35583286
95-th percentile0.2778282055
Maximum0.97760819
Range1.97582098
Interquartile range (IQR)0.45762933

Descriptive statistics

Standard deviation0.376928089
Coefficient of variation (CV)-0.7135944523
Kurtosis1.18376362
Mean-0.5282105092
Median Absolute Deviation (MAD)0.197973595
Skewness1.293983543
Sum-3883.403664
Variance0.1420747843
MonotonicityNot monotonic
2025-03-02T10:04:07.092448image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.091261831 1
 
< 0.1%
-0.70556229 1
 
< 0.1%
-0.76391422 1
 
< 0.1%
-0.78501997 1
 
< 0.1%
-0.83002057 1
 
< 0.1%
-0.65759506 1
 
< 0.1%
-0.73455216 1
 
< 0.1%
-0.88892453 1
 
< 0.1%
-0.52821837 1
 
< 0.1%
-0.856336 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.99821279 1
< 0.1%
-0.98967479 1
< 0.1%
-0.98697083 1
< 0.1%
-0.98389784 1
< 0.1%
-0.98326594 1
< 0.1%
ValueCountFrequency (%)
0.97760819 1
< 0.1%
0.96692277 1
< 0.1%
0.93881033 1
< 0.1%
0.92643229 1
< 0.1%
0.91991327 1
< 0.1%

fBodyGyro-skewness()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2167223704
Minimum-0.90898061
Maximum0.9035711
Zeros0
Zeros (%)0.0%
Negative5543
Negative (%)75.4%
Memory size57.6 KiB
2025-03-02T10:04:07.135519image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.90898061
5-th percentile-0.6640256835
Q1-0.474033405
median-0.27132695
Q3-0.006984967825
95-th percentile0.394515987
Maximum0.9035711
Range1.81255171
Interquartile range (IQR)0.4670484372

Descriptive statistics

Standard deviation0.3304439635
Coefficient of variation (CV)-1.524733985
Kurtosis-0.2976197267
Mean-0.2167223704
Median Absolute Deviation (MAD)0.225894603
Skewness0.5967866456
Sum-1593.342867
Variance0.109193213
MonotonicityNot monotonic
2025-03-02T10:04:07.178068image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.4843465 1
 
< 0.1%
0.52698181 1
 
< 0.1%
-0.12477948 1
 
< 0.1%
-0.33568584 1
 
< 0.1%
-0.27139008 1
 
< 0.1%
-0.079909834 1
 
< 0.1%
0.1892539 1
 
< 0.1%
-0.14473839 1
 
< 0.1%
-0.32465694 1
 
< 0.1%
-0.48218443 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.90898061 1
< 0.1%
-0.89991163 1
< 0.1%
-0.89952127 1
< 0.1%
-0.87659008 1
< 0.1%
-0.87161815 1
< 0.1%
ValueCountFrequency (%)
0.9035711 1
< 0.1%
0.88450888 1
< 0.1%
0.86901978 1
< 0.1%
0.84993855 1
< 0.1%
0.8444074 1
< 0.1%

fBodyGyro-kurtosis()-Z
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5360353209
Minimum-1
Maximum0.857113
Zeros0
Zeros (%)0.0%
Negative6634
Negative (%)90.2%
Memory size57.6 KiB
2025-03-02T10:04:07.218784image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9120104145
Q1-0.8022726325
median-0.636849575
Q3-0.3582150625
95-th percentile0.1573462065
Maximum0.857113
Range1.857113
Interquartile range (IQR)0.44405757

Descriptive statistics

Standard deviation0.3435815667
Coefficient of variation (CV)-0.6409681476
Kurtosis0.6580188539
Mean-0.5360353209
Median Absolute Deviation (MAD)0.19586241
Skewness1.114859061
Sum-3940.931679
Variance0.118048293
MonotonicityNot monotonic
2025-03-02T10:04:07.261206image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.7828507 1
 
< 0.1%
0.29764091 1
 
< 0.1%
-0.57656317 1
 
< 0.1%
-0.71364035 1
 
< 0.1%
-0.65717504 1
 
< 0.1%
-0.51939788 1
 
< 0.1%
-0.18794827 1
 
< 0.1%
-0.55265578 1
 
< 0.1%
-0.72256914 1
 
< 0.1%
-0.79761296 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99598797 1
< 0.1%
-0.9955255 1
< 0.1%
-0.99446899 1
< 0.1%
-0.98707224 1
< 0.1%
ValueCountFrequency (%)
0.857113 1
< 0.1%
0.84235896 1
< 0.1%
0.82709951 1
< 0.1%
0.7944988 1
< 0.1%
0.79316041 1
< 0.1%
Distinct7021
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9283303987
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7344
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:07.303836image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999419
Q1-0.9999229425
median-0.99610365
Q3-0.898142325
95-th percentile-0.693696394
Maximum1
Range2
Interquartile range (IQR)0.1017806175

Descriptive statistics

Standard deviation0.1217104068
Coefficient of variation (CV)-0.1311067772
Kurtosis23.87803593
Mean-0.9283303987
Median Absolute Deviation (MAD)0.003893585
Skewness3.448223379
Sum-6825.085091
Variance0.01481342311
MonotonicityNot monotonic
2025-03-02T10:04:07.347658image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998713 4
 
0.1%
-0.9999987 4
 
0.1%
-0.99999071 4
 
0.1%
-0.99998213 3
 
< 0.1%
-0.99999435 3
 
< 0.1%
-0.99999667 3
 
< 0.1%
-0.99997917 3
 
< 0.1%
-0.99999001 3
 
< 0.1%
-0.99999296 3
 
< 0.1%
-0.99999816 3
 
< 0.1%
Other values (7011) 7319
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999987 1
< 0.1%
-0.99999966 1
< 0.1%
-0.99999945 1
< 0.1%
-0.99999941 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.81298961 1
< 0.1%
0.25695325 1
< 0.1%
0.083731475 1
< 0.1%
0.064288972 1
< 0.1%
Distinct7020
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9013251541
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7327
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:04:07.391544image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999906235
Q1-0.99993844
median-0.998053355
Q3-0.8643526975
95-th percentile-0.5475284435
Maximum1
Range2
Interquartile range (IQR)0.1355857425

Descriptive statistics

Standard deviation0.1703441574
Coefficient of variation (CV)-0.1889930139
Kurtosis12.3917057
Mean-0.9013251541
Median Absolute Deviation (MAD)0.00194116
Skewness2.934178159
Sum-6626.542533
Variance0.02901713196
MonotonicityNot monotonic
2025-03-02T10:04:07.438405image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998406 4
 
0.1%
-0.99998916 4
 
0.1%
-0.99999275 4
 
0.1%
-0.99999401 3
 
< 0.1%
-0.99998821 3
 
< 0.1%
-0.99998967 3
 
< 0.1%
-0.99998989 3
 
< 0.1%
-0.99998625 3
 
< 0.1%
-0.99997226 3
 
< 0.1%
-0.99999526 3
 
< 0.1%
Other values (7010) 7319
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999988 1
< 0.1%
-0.99999983 1
< 0.1%
-0.9999997 1
< 0.1%
-0.99999965 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.59377419 1
< 0.1%
0.54778621 1
< 0.1%
0.42984408 1
< 0.1%
0.41664036 1
< 0.1%
Distinct6969
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9178600234
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7338
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:07.483408image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999989199
Q1-0.99994552
median-0.99869901
Q3-0.887668255
95-th percentile-0.624832747
Maximum1
Range2
Interquartile range (IQR)0.112277265

Descriptive statistics

Standard deviation0.1446800944
Coefficient of variation (CV)-0.1576276237
Kurtosis15.86758394
Mean-0.9178600234
Median Absolute Deviation (MAD)0.001293825
Skewness3.088988995
Sum-6748.106892
Variance0.02093232972
MonotonicityNot monotonic
2025-03-02T10:04:07.527371image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999145 5
 
0.1%
-0.9999862 4
 
0.1%
-0.99997575 4
 
0.1%
-0.99998406 4
 
0.1%
-0.99998821 4
 
0.1%
-0.99998968 4
 
0.1%
-0.99996503 4
 
0.1%
-0.99998812 3
 
< 0.1%
-0.99996773 3
 
< 0.1%
-0.99998684 3
 
< 0.1%
Other values (6959) 7314
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999984 1
< 0.1%
-0.99999952 1
< 0.1%
-0.99999938 1
< 0.1%
-0.99999913 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.66446716 1
< 0.1%
0.34782503 1
< 0.1%
0.28382912 1
< 0.1%
0.28318252 1
< 0.1%
Distinct6900
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9594870831
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7348
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:07.650222image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999899635
Q1-0.999957845
median-0.998973245
Q3-0.9518460875
95-th percentile-0.815051139
Maximum1
Range2
Interquartile range (IQR)0.0481117575

Descriptive statistics

Standard deviation0.08729789459
Coefficient of variation (CV)-0.09098391852
Kurtosis88.60807061
Mean-0.9594870831
Median Absolute Deviation (MAD)0.00101989
Skewness6.522251154
Sum-7054.149035
Variance0.0076209224
MonotonicityNot monotonic
2025-03-02T10:04:07.693580image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998716 5
 
0.1%
-0.99998453 5
 
0.1%
-0.99998592 5
 
0.1%
-0.99998956 4
 
0.1%
-0.99997992 4
 
0.1%
-0.9999896 4
 
0.1%
-0.99998425 4
 
0.1%
-0.99997853 4
 
0.1%
-0.99998799 4
 
0.1%
-0.99999274 4
 
0.1%
Other values (6890) 7309
99.4%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999889 1
< 0.1%
-0.99999884 1
< 0.1%
-0.9999986 1
< 0.1%
-0.9999985 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96975545 1
< 0.1%
0.16144403 1
< 0.1%
0.010517139 1
< 0.1%
-0.04090829 1
< 0.1%
Distinct7036
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9499710101
Minimum-0.99999991
Maximum1
Zeros0
Zeros (%)0.0%
Negative7338
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:07.737073image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999991
5-th percentile-0.9999840645
Q1-0.9999327875
median-0.99837909
Q3-0.93820278
95-th percentile-0.779589218
Maximum1
Range1.99999991
Interquartile range (IQR)0.0617300075

Descriptive statistics

Standard deviation0.1094528784
Coefficient of variation (CV)-0.1152170722
Kurtosis65.91876639
Mean-0.9499710101
Median Absolute Deviation (MAD)0.0016096
Skewness6.215534024
Sum-6984.186867
Variance0.0119799326
MonotonicityNot monotonic
2025-03-02T10:04:07.780767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998731 5
 
0.1%
-0.99998566 4
 
0.1%
-0.99996637 4
 
0.1%
-0.9999629 4
 
0.1%
-0.9999639 4
 
0.1%
-0.99993012 3
 
< 0.1%
-0.9999594 3
 
< 0.1%
-0.99998086 3
 
< 0.1%
-0.99996056 3
 
< 0.1%
-0.99992679 3
 
< 0.1%
Other values (7026) 7316
99.5%
ValueCountFrequency (%)
-0.99999991 1
< 0.1%
-0.99999894 1
< 0.1%
-0.99999845 1
< 0.1%
-0.99999825 1
< 0.1%
-0.99999794 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99243686 1
< 0.1%
0.80845801 1
< 0.1%
0.5639153 1
< 0.1%
0.43225409 1
< 0.1%
Distinct7048
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9516857671
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7346
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:07.824149image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999810245
Q1-0.999924415
median-0.998171275
Q3-0.9359443425
95-th percentile-0.795280043
Maximum1
Range2
Interquartile range (IQR)0.0639800725

Descriptive statistics

Standard deviation0.09715723968
Coefficient of variation (CV)-0.1020896214
Kurtosis57.61471692
Mean-0.9516857671
Median Absolute Deviation (MAD)0.001815425
Skewness5.513337224
Sum-6996.79376
Variance0.009439529222
MonotonicityNot monotonic
2025-03-02T10:04:07.867639image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999141 4
 
0.1%
-0.99997708 3
 
< 0.1%
-0.99997494 3
 
< 0.1%
-0.99997147 3
 
< 0.1%
-0.99992128 3
 
< 0.1%
-0.99996308 3
 
< 0.1%
-0.99998624 3
 
< 0.1%
-0.99995817 3
 
< 0.1%
-0.99997858 3
 
< 0.1%
-0.9999862 3
 
< 0.1%
Other values (7038) 7321
99.6%
ValueCountFrequency (%)
-1 1
 
< 0.1%
-0.99999879 1
 
< 0.1%
-0.99999764 1
 
< 0.1%
-0.99999728 1
 
< 0.1%
-0.99999712 3
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.50607118 1
< 0.1%
0.49267627 1
< 0.1%
0.35712796 1
< 0.1%
0.18298999 1
< 0.1%
Distinct6941
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9635389952
Minimum-0.99999967
Maximum1
Zeros0
Zeros (%)0.0%
Negative7346
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:07.911286image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999967
5-th percentile-0.999990229
Q1-0.99995321
median-0.99831261
Q3-0.959244745
95-th percentile-0.83800074
Maximum1
Range1.99999967
Interquartile range (IQR)0.040708465

Descriptive statistics

Standard deviation0.08515146929
Coefficient of variation (CV)-0.0883736618
Kurtosis90.60509658
Mean-0.9635389952
Median Absolute Deviation (MAD)0.001680455
Skewness7.046084984
Sum-7083.938693
Variance0.007250772723
MonotonicityNot monotonic
2025-03-02T10:04:07.955136image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998668 4
 
0.1%
-0.99998464 4
 
0.1%
-0.99998576 4
 
0.1%
-0.99998367 3
 
< 0.1%
-0.99999049 3
 
< 0.1%
-0.99998901 3
 
< 0.1%
-0.99996616 3
 
< 0.1%
-0.99998035 3
 
< 0.1%
-0.9999764 3
 
< 0.1%
-0.99998088 3
 
< 0.1%
Other values (6931) 7319
99.6%
ValueCountFrequency (%)
-0.99999967 1
< 0.1%
-0.99999952 1
< 0.1%
-0.99999949 1
< 0.1%
-0.99999902 1
< 0.1%
-0.99999892 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.53829969 1
< 0.1%
0.36881128 1
< 0.1%
0.36597838 1
< 0.1%
0.032167355 1
< 0.1%
Distinct6184
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9755757012
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:07.998551image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999963
Q1-0.9999876125
median-0.999531175
Q3-0.9843319325
95-th percentile-0.8748510875
Maximum1
Range2
Interquartile range (IQR)0.01565568

Descriptive statistics

Standard deviation0.07377611233
Coefficient of variation (CV)-0.07562315486
Kurtosis126.574184
Mean-0.9755757012
Median Absolute Deviation (MAD)0.00046858
Skewness8.456515687
Sum-7172.432555
Variance0.00544291475
MonotonicityNot monotonic
2025-03-02T10:04:08.042525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999999 30
 
0.4%
-0.99999996 28
 
0.4%
-0.99999997 21
 
0.3%
-0.99999998 21
 
0.3%
-0.99999995 17
 
0.2%
-0.99999993 16
 
0.2%
-0.99999991 14
 
0.2%
-0.99999987 14
 
0.2%
-0.9999999 12
 
0.2%
-0.99999985 12
 
0.2%
Other values (6174) 7167
97.5%
ValueCountFrequency (%)
-1 10
 
0.1%
-0.99999999 30
0.4%
-0.99999998 21
0.3%
-0.99999997 21
0.3%
-0.99999996 28
0.4%
ValueCountFrequency (%)
1 1
< 0.1%
0.25487558 1
< 0.1%
0.1475237 1
< 0.1%
0.10996795 1
< 0.1%
0.10943925 1
< 0.1%
Distinct7073
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9181261059
Minimum-0.99999982
Maximum1
Zeros0
Zeros (%)0.0%
Negative7343
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:08.086754image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999982
5-th percentile-0.9999929125
Q1-0.9999134825
median-0.9960212
Q3-0.873060545
95-th percentile-0.662789145
Maximum1
Range1.99999982
Interquartile range (IQR)0.1268529375

Descriptive statistics

Standard deviation0.1306785504
Coefficient of variation (CV)-0.1423318099
Kurtosis18.4485908
Mean-0.9181261059
Median Absolute Deviation (MAD)0.003975145
Skewness3.045130397
Sum-6750.06313
Variance0.01707688353
MonotonicityNot monotonic
2025-03-02T10:04:08.130258image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999774 4
 
0.1%
-0.9999918 4
 
0.1%
-0.99999536 4
 
0.1%
-0.99999759 4
 
0.1%
-0.99999649 3
 
< 0.1%
-0.99998856 3
 
< 0.1%
-0.99999744 3
 
< 0.1%
-0.99999226 3
 
< 0.1%
-0.99998842 3
 
< 0.1%
-0.99997927 3
 
< 0.1%
Other values (7063) 7318
99.5%
ValueCountFrequency (%)
-0.99999982 1
< 0.1%
-0.99999964 1
< 0.1%
-0.99999932 1
< 0.1%
-0.99999927 1
< 0.1%
-0.99999923 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.77431991 1
< 0.1%
0.25329001 1
< 0.1%
0.11666225 1
< 0.1%
0.10612049 1
< 0.1%
Distinct7007
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.917403799
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7337
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:08.173339image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99998791
Q1-0.9999389775
median-0.998525625
Q3-0.885909595
95-th percentile-0.632030489
Maximum1
Range2
Interquartile range (IQR)0.1140293825

Descriptive statistics

Standard deviation0.145049063
Coefficient of variation (CV)-0.1581081996
Kurtosis19.11408309
Mean-0.917403799
Median Absolute Deviation (MAD)0.00146663
Skewness3.294658747
Sum-6744.75273
Variance0.02103923067
MonotonicityNot monotonic
2025-03-02T10:04:08.216266image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998791 5
 
0.1%
-0.99998773 4
 
0.1%
-0.9999744 4
 
0.1%
-0.99998177 4
 
0.1%
-0.99998193 3
 
< 0.1%
-0.9999773 3
 
< 0.1%
-0.99997929 3
 
< 0.1%
-0.99997964 3
 
< 0.1%
-0.99997718 3
 
< 0.1%
-0.99997906 3
 
< 0.1%
Other values (6997) 7317
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999979 1
< 0.1%
-0.99999952 1
< 0.1%
-0.9999995 1
< 0.1%
-0.99999901 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.83580761 1
< 0.1%
0.67923017 1
< 0.1%
0.47757396 1
< 0.1%
0.40877019 1
< 0.1%
Distinct7094
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9456395034
Minimum-0.99999696
Maximum1
Zeros0
Zeros (%)0.0%
Negative7340
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:08.259489image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999696
5-th percentile-0.99998041
Q1-0.9999224775
median-0.998083095
Q3-0.93021086
95-th percentile-0.765525045
Maximum1
Range1.99999696
Interquartile range (IQR)0.0697116175

Descriptive statistics

Standard deviation0.1114789718
Coefficient of variation (CV)-0.1178873888
Kurtosis51.30593712
Mean-0.9456395034
Median Absolute Deviation (MAD)0.001902815
Skewness5.473649416
Sum-6952.341629
Variance0.01242756116
MonotonicityNot monotonic
2025-03-02T10:04:08.302928image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998502 4
 
0.1%
-0.99997532 3
 
< 0.1%
-0.99997817 3
 
< 0.1%
-0.9998952 3
 
< 0.1%
-0.99995755 3
 
< 0.1%
-0.99996645 3
 
< 0.1%
-0.99995341 3
 
< 0.1%
-0.99995742 3
 
< 0.1%
-0.99997405 3
 
< 0.1%
-0.99997547 3
 
< 0.1%
Other values (7084) 7321
99.6%
ValueCountFrequency (%)
-0.99999696 1
< 0.1%
-0.99999676 1
< 0.1%
-0.99999497 1
< 0.1%
-0.99999496 1
< 0.1%
-0.99999484 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.71361992 1
< 0.1%
0.6776227 1
< 0.1%
0.4476731 1
< 0.1%
0.39284487 1
< 0.1%
Distinct6800
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9688650611
Minimum-0.99999982
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:08.345625image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999982
5-th percentile-0.99999355
Q1-0.99996662
median-0.99844967
Q3-0.969263475
95-th percentile-0.8570951435
Maximum1
Range1.99999982
Interquartile range (IQR)0.030703145

Descriptive statistics

Standard deviation0.07831891031
Coefficient of variation (CV)-0.08083572569
Kurtosis108.5280628
Mean-0.9688650611
Median Absolute Deviation (MAD)0.00154573
Skewness7.695217439
Sum-7123.095929
Variance0.006133851711
MonotonicityNot monotonic
2025-03-02T10:04:08.390404image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998929 5
 
0.1%
-0.99999196 5
 
0.1%
-0.99999319 5
 
0.1%
-0.99997968 5
 
0.1%
-0.99999517 4
 
0.1%
-0.99999328 4
 
0.1%
-0.99999221 4
 
0.1%
-0.99999363 4
 
0.1%
-0.99999451 4
 
0.1%
-0.99997923 4
 
0.1%
Other values (6790) 7308
99.4%
ValueCountFrequency (%)
-0.99999982 1
< 0.1%
-0.99999973 1
< 0.1%
-0.99999971 1
< 0.1%
-0.99999929 1
< 0.1%
-0.99999928 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.41288897 1
< 0.1%
0.270895 1
< 0.1%
0.25246384 1
< 0.1%
0.015405304 1
< 0.1%
Distinct7060
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9150471553
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7341
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:08.434350image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999245
Q1-0.999909855
median-0.99596887
Q3-0.8654542275
95-th percentile-0.6563632025
Maximum1
Range2
Interquartile range (IQR)0.1344556275

Descriptive statistics

Standard deviation0.1336117863
Coefficient of variation (CV)-0.1460162851
Kurtosis17.55765635
Mean-0.9150471553
Median Absolute Deviation (MAD)0.004027135
Skewness2.97461737
Sum-6727.426686
Variance0.01785210943
MonotonicityNot monotonic
2025-03-02T10:04:08.477757image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999566 4
 
0.1%
-0.99998922 4
 
0.1%
-0.99998995 4
 
0.1%
-0.99999401 3
 
< 0.1%
-0.99999592 3
 
< 0.1%
-0.99999382 3
 
< 0.1%
-0.99997706 3
 
< 0.1%
-0.99995872 3
 
< 0.1%
-0.99999544 3
 
< 0.1%
-0.99999364 3
 
< 0.1%
Other values (7050) 7319
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999958 1
< 0.1%
-0.99999934 1
< 0.1%
-0.9999992 1
< 0.1%
-0.99999917 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.76762834 1
< 0.1%
0.27603264 1
< 0.1%
0.17800106 1
< 0.1%
0.14395434 1
< 0.1%
Distinct6961
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9550481775
Minimum-0.99999832
Maximum1
Zeros0
Zeros (%)0.0%
Negative7345
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:08.521385image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999832
5-th percentile-0.99998705
Q1-0.99994498
median-0.99870831
Q3-0.9414026975
95-th percentile-0.803581139
Maximum1
Range1.99999832
Interquartile range (IQR)0.0585422825

Descriptive statistics

Standard deviation0.09267263568
Coefficient of variation (CV)-0.09703451393
Kurtosis71.23385804
Mean-0.9550481775
Median Absolute Deviation (MAD)0.00128267
Skewness6.023669053
Sum-7021.514201
Variance0.008588217404
MonotonicityNot monotonic
2025-03-02T10:04:08.568874image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998382 5
 
0.1%
-0.99997691 4
 
0.1%
-0.99997987 4
 
0.1%
-0.99997038 4
 
0.1%
-0.99998705 4
 
0.1%
-0.99996718 3
 
< 0.1%
-0.99998027 3
 
< 0.1%
-0.99998123 3
 
< 0.1%
-0.99998625 3
 
< 0.1%
-0.99997871 3
 
< 0.1%
Other values (6951) 7316
99.5%
ValueCountFrequency (%)
-0.99999832 1
< 0.1%
-0.99999771 1
< 0.1%
-0.99999769 1
< 0.1%
-0.99999768 1
< 0.1%
-0.99999763 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.84657797 1
< 0.1%
0.18737474 1
< 0.1%
0.14774663 1
< 0.1%
0.13600838 1
< 0.1%
Distinct7257
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8699022654
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7265
Negative (%)98.8%
Memory size57.6 KiB
2025-03-02T10:04:08.613438image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999979499
Q1-0.9997702825
median-0.995134925
Q3-0.8397227375
95-th percentile-0.377536658
Maximum1
Range2
Interquartile range (IQR)0.160047545

Descriptive statistics

Standard deviation0.2343234651
Coefficient of variation (CV)-0.2693675766
Kurtosis12.5241766
Mean-0.8699022654
Median Absolute Deviation (MAD)0.004855195
Skewness3.062896338
Sum-6395.521456
Variance0.05490748631
MonotonicityNot monotonic
2025-03-02T10:04:08.656930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99996714 4
 
0.1%
-0.99996359 3
 
< 0.1%
-0.9999938 3
 
< 0.1%
-0.99999261 3
 
< 0.1%
-0.99988388 2
 
< 0.1%
-0.99983 2
 
< 0.1%
-0.9999916 2
 
< 0.1%
-0.99998124 2
 
< 0.1%
-0.99926858 2
 
< 0.1%
-0.99996009 2
 
< 0.1%
Other values (7247) 7327
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999945 1
< 0.1%
-0.99999943 1
< 0.1%
-0.99999923 1
< 0.1%
-0.99999914 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95433027 1
< 0.1%
0.92899912 1
< 0.1%
0.92893666 1
< 0.1%
0.89764815 1
< 0.1%
Distinct6735
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.955349407
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7339
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:08.699774image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999994739
Q1-0.9999688175
median-0.999137165
Q3-0.95342733
95-th percentile-0.796978706
Maximum1
Range2
Interquartile range (IQR)0.0465414875

Descriptive statistics

Standard deviation0.1103188201
Coefficient of variation (CV)-0.1154748402
Kurtosis62.16984251
Mean-0.955349407
Median Absolute Deviation (MAD)0.0008592
Skewness6.353332399
Sum-7023.72884
Variance0.01217024206
MonotonicityNot monotonic
2025-03-02T10:04:08.744026image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999461 5
 
0.1%
-0.99999361 5
 
0.1%
-0.99999486 5
 
0.1%
-0.99999146 5
 
0.1%
-0.99999338 4
 
0.1%
-0.99999158 4
 
0.1%
-0.99999583 4
 
0.1%
-0.99999435 4
 
0.1%
-0.99999587 4
 
0.1%
-0.99999171 4
 
0.1%
Other values (6725) 7308
99.4%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999995 1
< 0.1%
-0.99999972 1
< 0.1%
-0.99999962 1
< 0.1%
-0.99999953 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.77525606 1
< 0.1%
0.61118338 1
< 0.1%
0.60838067 1
< 0.1%
0.44028047 1
< 0.1%
Distinct6560
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9569616536
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7318
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:04:08.866832image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999658
Q1-0.99998085
median-0.999555125
Q3-0.964262745
95-th percentile-0.7950533715
Maximum1
Range2
Interquartile range (IQR)0.035718105

Descriptive statistics

Standard deviation0.1246276888
Coefficient of variation (CV)-0.1302326884
Kurtosis67.61683868
Mean-0.9569616536
Median Absolute Deviation (MAD)0.000442755
Skewness7.062994623
Sum-7035.582077
Variance0.01553206083
MonotonicityNot monotonic
2025-03-02T10:04:08.910818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999248 5
 
0.1%
-0.99999487 5
 
0.1%
-0.99999241 5
 
0.1%
-0.99999537 5
 
0.1%
-0.99999421 5
 
0.1%
-0.99999721 5
 
0.1%
-0.99999679 5
 
0.1%
-0.99999376 5
 
0.1%
-0.99998772 5
 
0.1%
-0.99999553 5
 
0.1%
Other values (6550) 7302
99.3%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999987 1
< 0.1%
-0.99999978 1
< 0.1%
-0.99999963 1
< 0.1%
-0.99999962 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.88629716 1
< 0.1%
0.84243559 1
< 0.1%
0.78263934 1
< 0.1%
0.51398473 1
< 0.1%
Distinct6671
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9658854779
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7344
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:08.953668image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999951845
Q1-0.999973765
median-0.99952754
Q3-0.97006729
95-th percentile-0.8332376945
Maximum1
Range2
Interquartile range (IQR)0.029906475

Descriptive statistics

Standard deviation0.09376651029
Coefficient of variation (CV)-0.09707828975
Kurtosis89.56102971
Mean-0.9658854779
Median Absolute Deviation (MAD)0.000469065
Skewness7.432929893
Sum-7101.190033
Variance0.008792158452
MonotonicityNot monotonic
2025-03-02T10:04:08.998062image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999193 6
 
0.1%
-0.99999621 6
 
0.1%
-0.99999743 5
 
0.1%
-0.99999581 5
 
0.1%
-0.99999491 5
 
0.1%
-0.99999044 5
 
0.1%
-0.99999456 5
 
0.1%
-0.99999445 5
 
0.1%
-0.99999433 5
 
0.1%
-0.9999925 4
 
0.1%
Other values (6661) 7301
99.3%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999984 1
< 0.1%
-0.99999981 1
< 0.1%
-0.99999956 1
< 0.1%
-0.99999932 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.71394053 1
< 0.1%
0.69092379 1
< 0.1%
0.37372899 1
< 0.1%
0.28645434 1
< 0.1%
Distinct6731
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.97660084
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7348
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:09.041632image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999429
Q1-0.9999724725
median-0.999542965
Q3-0.97592402
95-th percentile-0.8911377215
Maximum1
Range2
Interquartile range (IQR)0.0240484525

Descriptive statistics

Standard deviation0.06474797382
Coefficient of variation (CV)-0.06629932228
Kurtosis276.1047988
Mean-0.97660084
Median Absolute Deviation (MAD)0.000453345
Skewness12.34221428
Sum-7179.969376
Variance0.004192300114
MonotonicityNot monotonic
2025-03-02T10:04:09.085756image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999547 5
 
0.1%
-0.99999497 5
 
0.1%
-0.99998813 5
 
0.1%
-0.99999159 5
 
0.1%
-0.99999215 5
 
0.1%
-0.99999255 5
 
0.1%
-0.99999463 4
 
0.1%
-0.99998732 4
 
0.1%
-0.99999189 4
 
0.1%
-0.99998073 4
 
0.1%
Other values (6721) 7306
99.4%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999996 1
< 0.1%
-0.99999995 1
< 0.1%
-0.99999977 1
< 0.1%
-0.99999959 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.83087221 1
< 0.1%
0.42831591 1
< 0.1%
0.39350027 1
< 0.1%
-0.14867516 1
< 0.1%
Distinct7013
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9559389166
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7341
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:09.129002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999986868
Q1-0.99994133
median-0.99897445
Q3-0.95275923
95-th percentile-0.7934134695
Maximum1
Range2
Interquartile range (IQR)0.0471821

Descriptive statistics

Standard deviation0.1035726242
Coefficient of variation (CV)-0.1083464879
Kurtosis69.78567008
Mean-0.9559389166
Median Absolute Deviation (MAD)0.00101683
Skewness6.413364087
Sum-7028.062915
Variance0.01072728849
MonotonicityNot monotonic
2025-03-02T10:04:09.172962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997346 4
 
0.1%
-0.99997953 3
 
< 0.1%
-0.99997758 3
 
< 0.1%
-0.99996382 3
 
< 0.1%
-0.99999033 3
 
< 0.1%
-0.99998008 3
 
< 0.1%
-0.99997551 3
 
< 0.1%
-0.99998438 3
 
< 0.1%
-0.99998809 3
 
< 0.1%
-0.99998976 3
 
< 0.1%
Other values (7003) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999956 1
< 0.1%
-0.99999945 1
< 0.1%
-0.99999929 1
< 0.1%
-0.99999897 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90050731 1
< 0.1%
0.73302139 1
< 0.1%
0.29049734 1
< 0.1%
0.24780841 1
< 0.1%
Distinct7043
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9499430897
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7336
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:09.216498image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999986329
Q1-0.9999349425
median-0.99853611
Q3-0.947507
95-th percentile-0.766297631
Maximum1
Range2
Interquartile range (IQR)0.0524279425

Descriptive statistics

Standard deviation0.120509277
Coefficient of variation (CV)-0.1268594701
Kurtosis54.78135727
Mean-0.9499430897
Median Absolute Deviation (MAD)0.001454885
Skewness5.991541062
Sum-6983.981595
Variance0.01452248584
MonotonicityNot monotonic
2025-03-02T10:04:09.259948image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998658 4
 
0.1%
-0.99998089 4
 
0.1%
-0.99998218 3
 
< 0.1%
-0.99996919 3
 
< 0.1%
-0.99998544 3
 
< 0.1%
-0.99997088 3
 
< 0.1%
-0.99997006 3
 
< 0.1%
-0.99997451 3
 
< 0.1%
-0.99999105 3
 
< 0.1%
-0.99997815 3
 
< 0.1%
Other values (7033) 7320
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999934 1
< 0.1%
-0.99999799 1
< 0.1%
-0.99999753 1
< 0.1%
-0.99999745 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.7460557 1
< 0.1%
0.67394084 1
< 0.1%
0.6235703 1
< 0.1%
0.61266175 1
< 0.1%
Distinct6440
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9747974063
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7347
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:09.303453image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999942
Q1-0.9999797925
median-0.99951226
Q3-0.9863497275
95-th percentile-0.871067008
Maximum1
Range2
Interquartile range (IQR)0.013630065

Descriptive statistics

Standard deviation0.08000379569
Coefficient of variation (CV)-0.08207222873
Kurtosis105.3653087
Mean-0.9747974063
Median Absolute Deviation (MAD)0.00048726
Skewness8.055903351
Sum-7166.710531
Variance0.006400607325
MonotonicityNot monotonic
2025-03-02T10:04:09.348110image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999993 17
 
0.2%
-0.99999998 17
 
0.2%
-0.99999999 15
 
0.2%
-0.99999996 15
 
0.2%
-0.99999983 13
 
0.2%
-0.9999999 12
 
0.2%
-0.99999987 10
 
0.1%
-0.99999997 9
 
0.1%
-0.99999976 9
 
0.1%
-0.99999988 9
 
0.1%
Other values (6430) 7226
98.3%
ValueCountFrequency (%)
-1 6
 
0.1%
-0.99999999 15
0.2%
-0.99999998 17
0.2%
-0.99999997 9
0.1%
-0.99999996 15
0.2%
ValueCountFrequency (%)
1 1
< 0.1%
0.23798029 1
< 0.1%
0.19284089 1
< 0.1%
0.14528326 1
< 0.1%
0.077183091 1
< 0.1%
Distinct7228
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8833628522
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7292
Negative (%)99.2%
Memory size57.6 KiB
2025-03-02T10:04:09.392010image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999981709
Q1-0.99981235
median-0.996017365
Q3-0.84533943
95-th percentile-0.467853932
Maximum1
Range2
Interquartile range (IQR)0.15447292

Descriptive statistics

Standard deviation0.1993339943
Coefficient of variation (CV)-0.2256535848
Kurtosis12.00614785
Mean-0.8833628522
Median Absolute Deviation (MAD)0.003972585
Skewness2.912737715
Sum-6494.483689
Variance0.03973404127
MonotonicityNot monotonic
2025-03-02T10:04:09.435030image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99993886 3
 
< 0.1%
-0.99990471 3
 
< 0.1%
-0.99998202 3
 
< 0.1%
-0.99994502 3
 
< 0.1%
-0.99998641 3
 
< 0.1%
-0.99993307 3
 
< 0.1%
-0.99998884 3
 
< 0.1%
-0.99996281 2
 
< 0.1%
-0.99995591 2
 
< 0.1%
-0.99998605 2
 
< 0.1%
Other values (7218) 7325
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999951 1
< 0.1%
-0.99999941 1
< 0.1%
-0.99999887 1
< 0.1%
-0.99999871 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.76993838 1
< 0.1%
0.59733366 1
< 0.1%
0.58764318 1
< 0.1%
0.56533236 1
< 0.1%
Distinct6706
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9494090781
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7314
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:04:09.478031image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999951045
Q1-0.9999729625
median-0.99943391
Q3-0.9550432675
95-th percentile-0.7612902795
Maximum1
Range2
Interquartile range (IQR)0.044929695

Descriptive statistics

Standard deviation0.1373019671
Coefficient of variation (CV)-0.1446183424
Kurtosis52.04190162
Mean-0.9494090781
Median Absolute Deviation (MAD)0.000563015
Skewness6.193502696
Sum-6980.055542
Variance0.01885183018
MonotonicityNot monotonic
2025-03-02T10:04:09.522312image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999373 5
 
0.1%
-0.99999639 5
 
0.1%
-0.99998871 4
 
0.1%
-0.99999589 4
 
0.1%
-0.9999934 4
 
0.1%
-0.99999207 4
 
0.1%
-0.9999956 4
 
0.1%
-0.99998669 4
 
0.1%
-0.99999484 4
 
0.1%
-0.99999531 4
 
0.1%
Other values (6696) 7310
99.4%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999977 1
< 0.1%
-0.99999963 2
< 0.1%
-0.99999956 1
< 0.1%
-0.99999954 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93426148 1
< 0.1%
0.88047153 1
< 0.1%
0.78471587 1
< 0.1%
0.64294966 1
< 0.1%
Distinct6800
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9721187448
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7348
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:09.565716image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99999231
Q1-0.9999650975
median-0.99940205
Q3-0.9701973625
95-th percentile-0.870053902
Maximum1
Range2
Interquartile range (IQR)0.029767735

Descriptive statistics

Standard deviation0.07154843131
Coefficient of variation (CV)-0.07360050579
Kurtosis200.3553689
Mean-0.9721187448
Median Absolute Deviation (MAD)0.000593065
Skewness10.31405328
Sum-7147.017012
Variance0.005119178023
MonotonicityNot monotonic
2025-03-02T10:04:09.609808image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999046 5
 
0.1%
-0.99998764 4
 
0.1%
-0.99998691 4
 
0.1%
-0.99999352 4
 
0.1%
-0.99998085 4
 
0.1%
-0.99998609 4
 
0.1%
-0.99999103 4
 
0.1%
-0.99998885 4
 
0.1%
-0.99998228 4
 
0.1%
-0.99999519 4
 
0.1%
Other values (6790) 7311
99.4%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999996 1
< 0.1%
-0.99999958 1
< 0.1%
-0.99999944 1
< 0.1%
-0.99999938 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.88431221 1
< 0.1%
0.50548734 1
< 0.1%
0.37590259 1
< 0.1%
-0.059505698 1
< 0.1%
Distinct7018
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9539006803
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7336
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:09.655771image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999887045
Q1-0.9999419075
median-0.99846579
Q3-0.9541320025
95-th percentile-0.7890926855
Maximum1
Range2
Interquartile range (IQR)0.045809905

Descriptive statistics

Standard deviation0.1125205338
Coefficient of variation (CV)-0.1179583327
Kurtosis57.00252513
Mean-0.9539006803
Median Absolute Deviation (MAD)0.001527015
Skewness6.08164598
Sum-7013.077802
Variance0.01266087054
MonotonicityNot monotonic
2025-03-02T10:04:09.702396image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999241 4
 
0.1%
-0.99998715 4
 
0.1%
-0.99996908 4
 
0.1%
-0.99995688 4
 
0.1%
-0.99998698 4
 
0.1%
-0.99998162 3
 
< 0.1%
-0.99991374 3
 
< 0.1%
-0.99998117 3
 
< 0.1%
-0.9999875 3
 
< 0.1%
-0.99996979 3
 
< 0.1%
Other values (7008) 7317
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999914 1
< 0.1%
-0.99999829 1
< 0.1%
-0.99999815 1
< 0.1%
-0.99999805 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.67972423 1
< 0.1%
0.56152522 1
< 0.1%
0.53873895 1
< 0.1%
0.49350896 1
< 0.1%
Distinct7231
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8710336427
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7271
Negative (%)98.9%
Memory size57.6 KiB
2025-03-02T10:04:09.746641image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999980815
Q1-0.9998105925
median-0.996098645
Q3-0.8289249325
95-th percentile-0.42726832
Maximum1
Range2
Interquartile range (IQR)0.17088566

Descriptive statistics

Standard deviation0.2177359596
Coefficient of variation (CV)-0.2499742248
Kurtosis10.10512603
Mean-0.8710336427
Median Absolute Deviation (MAD)0.00388978
Skewness2.735704223
Sum-6403.839341
Variance0.04740894812
MonotonicityNot monotonic
2025-03-02T10:04:09.791387image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99994026 3
 
< 0.1%
-0.99996324 2
 
< 0.1%
-0.99979234 2
 
< 0.1%
-0.99990866 2
 
< 0.1%
-0.99991068 2
 
< 0.1%
-0.99994006 2
 
< 0.1%
-0.99998479 2
 
< 0.1%
-0.99998531 2
 
< 0.1%
-0.99996202 2
 
< 0.1%
-0.99983221 2
 
< 0.1%
Other values (7221) 7331
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999993 1
< 0.1%
-0.99999984 1
< 0.1%
-0.99999959 1
< 0.1%
-0.99999909 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9532279 1
< 0.1%
0.82683171 1
< 0.1%
0.78029712 1
< 0.1%
0.68341179 1
< 0.1%
Distinct6769
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9651953643
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7344
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:09.834823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999993979
Q1-0.9999682
median-0.99944305
Q3-0.9663463075
95-th percentile-0.8340882295
Maximum1
Range2
Interquartile range (IQR)0.0336218925

Descriptive statistics

Standard deviation0.09172899871
Coefficient of variation (CV)-0.09503671703
Kurtosis105.79076
Mean-0.9651953643
Median Absolute Deviation (MAD)0.00055284
Skewness7.851988042
Sum-7096.116318
Variance0.008414209205
MonotonicityNot monotonic
2025-03-02T10:04:09.879187image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999201 5
 
0.1%
-0.99998579 4
 
0.1%
-0.99997728 4
 
0.1%
-0.99999068 4
 
0.1%
-0.99999659 4
 
0.1%
-0.99999293 4
 
0.1%
-0.99998225 4
 
0.1%
-0.99998947 4
 
0.1%
-0.99999175 4
 
0.1%
-0.99999713 4
 
0.1%
Other values (6759) 7311
99.4%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999998 1
< 0.1%
-0.99999995 1
< 0.1%
-0.99999968 1
< 0.1%
-0.9999996 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90030027 1
< 0.1%
0.72325232 1
< 0.1%
0.61003054 1
< 0.1%
0.31026064 1
< 0.1%
Distinct7186
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8981911486
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7296
Negative (%)99.2%
Memory size57.6 KiB
2025-03-02T10:04:09.923189image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999987038
Q1-0.99987975
median-0.994192485
Q3-0.8389984025
95-th percentile-0.6188814275
Maximum1
Range2
Interquartile range (IQR)0.1608813475

Descriptive statistics

Standard deviation0.1782552159
Coefficient of variation (CV)-0.1984602233
Kurtosis24.96056973
Mean-0.8981911486
Median Absolute Deviation (MAD)0.005799895
Skewness3.973429223
Sum-6603.501324
Variance0.031774922
MonotonicityNot monotonic
2025-03-02T10:04:10.043233image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99998274 3
 
< 0.1%
-0.9999871 3
 
< 0.1%
-0.99998807 3
 
< 0.1%
-0.99998301 3
 
< 0.1%
-0.99994364 3
 
< 0.1%
-0.9999818 3
 
< 0.1%
-0.99998571 3
 
< 0.1%
-0.99993259 3
 
< 0.1%
-0.99998848 3
 
< 0.1%
-0.99996417 3
 
< 0.1%
Other values (7176) 7322
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999987 1
< 0.1%
-0.99999984 1
< 0.1%
-0.99999948 1
< 0.1%
-0.99999923 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.93165229 1
< 0.1%
0.85771557 1
< 0.1%
0.82918902 1
< 0.1%
0.82234157 1
< 0.1%
Distinct6957
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9319673774
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7326
Negative (%)99.6%
Memory size57.6 KiB
2025-03-02T10:04:10.086293image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999877435
Q1-0.99994923
median-0.9984867
Q3-0.9122143075
95-th percentile-0.7158873285
Maximum1
Range2
Interquartile range (IQR)0.0877349225

Descriptive statistics

Standard deviation0.1379560277
Coefficient of variation (CV)-0.1480266703
Kurtosis39.98696604
Mean-0.9319673774
Median Absolute Deviation (MAD)0.001504685
Skewness5.029136641
Sum-6851.824158
Variance0.01903186557
MonotonicityNot monotonic
2025-03-02T10:04:10.129588image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997901 4
 
0.1%
-0.99996802 3
 
< 0.1%
-0.99998506 3
 
< 0.1%
-0.99998172 3
 
< 0.1%
-0.99999163 3
 
< 0.1%
-0.99998051 3
 
< 0.1%
-0.99998682 3
 
< 0.1%
-0.99998823 3
 
< 0.1%
-0.99998061 3
 
< 0.1%
-0.99997127 3
 
< 0.1%
Other values (6947) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999993 1
< 0.1%
-0.99999959 1
< 0.1%
-0.9999995 1
< 0.1%
-0.99999945 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92742957 1
< 0.1%
0.81238509 1
< 0.1%
0.71652532 1
< 0.1%
0.68509698 1
< 0.1%
Distinct6962
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.929685276
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7328
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:04:10.172271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999826935
Q1-0.999948705
median-0.99886527
Q3-0.9119933125
95-th percentile-0.6853389395
Maximum1
Range2
Interquartile range (IQR)0.0879553925

Descriptive statistics

Standard deviation0.1431502297
Coefficient of variation (CV)-0.153977086
Kurtosis27.91488962
Mean-0.929685276
Median Absolute Deviation (MAD)0.00112191
Skewness4.32069754
Sum-6835.046149
Variance0.02049198827
MonotonicityNot monotonic
2025-03-02T10:04:10.215914image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.999978 4
 
0.1%
-0.99997552 4
 
0.1%
-0.99995261 4
 
0.1%
-0.99996297 4
 
0.1%
-0.99997832 4
 
0.1%
-0.99998271 3
 
< 0.1%
-0.99996842 3
 
< 0.1%
-0.99997947 3
 
< 0.1%
-0.99997971 3
 
< 0.1%
-0.99997073 3
 
< 0.1%
Other values (6952) 7317
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999861 1
< 0.1%
-0.9999972 1
< 0.1%
-0.99999634 1
< 0.1%
-0.99999624 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.66839056 1
< 0.1%
0.66151085 1
< 0.1%
0.51917116 1
< 0.1%
0.48460043 1
< 0.1%
Distinct6907
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9669778714
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7350
Negative (%)> 99.9%
Memory size57.6 KiB
2025-03-02T10:04:10.259007image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999862915
Q1-0.9999579225
median-0.999139445
Q3-0.9627837725
95-th percentile-0.85222521
Maximum1
Range2
Interquartile range (IQR)0.03717415

Descriptive statistics

Standard deviation0.0764079257
Coefficient of variation (CV)-0.07901724327
Kurtosis138.0031824
Mean-0.9669778714
Median Absolute Deviation (MAD)0.00084995
Skewness8.081339069
Sum-7109.22131
Variance0.005838171109
MonotonicityNot monotonic
2025-03-02T10:04:10.303021image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997064 4
 
0.1%
-0.99997608 4
 
0.1%
-0.99996788 4
 
0.1%
-0.9999753 4
 
0.1%
-0.99996232 4
 
0.1%
-0.99997631 4
 
0.1%
-0.9999714 3
 
< 0.1%
-0.99999306 3
 
< 0.1%
-0.99998399 3
 
< 0.1%
-0.99997825 3
 
< 0.1%
Other values (6897) 7316
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999972 1
< 0.1%
-0.99999939 1
< 0.1%
-0.99999895 1
< 0.1%
-0.99999812 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96614349 1
< 0.1%
-0.087523835 1
< 0.1%
-0.10776623 1
< 0.1%
-0.12500372 1
< 0.1%
Distinct7033
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9716250102
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7350
Negative (%)> 99.9%
Memory size57.6 KiB
2025-03-02T10:04:10.346235image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99998091
Q1-0.99994247
median-0.99888674
Q3-0.9665761175
95-th percentile-0.874548509
Maximum1
Range2
Interquartile range (IQR)0.0333663525

Descriptive statistics

Standard deviation0.06547278925
Coefficient of variation (CV)-0.0673848332
Kurtosis216.2121369
Mean-0.9716250102
Median Absolute Deviation (MAD)0.00109928
Skewness9.871031573
Sum-7143.387075
Variance0.004286686132
MonotonicityNot monotonic
2025-03-02T10:04:10.391158image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99994247 4
 
0.1%
-0.99995983 3
 
< 0.1%
-0.99996583 3
 
< 0.1%
-0.99995037 3
 
< 0.1%
-0.99996152 3
 
< 0.1%
-0.99998616 3
 
< 0.1%
-0.99998663 3
 
< 0.1%
-0.99996284 3
 
< 0.1%
-0.99996317 3
 
< 0.1%
-0.99997792 3
 
< 0.1%
Other values (7023) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999911 1
< 0.1%
-0.99999848 1
< 0.1%
-0.99999832 1
< 0.1%
-0.99999773 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86669545 1
< 0.1%
-0.14944531 1
< 0.1%
-0.18842443 1
< 0.1%
-0.26778803 1
< 0.1%
Distinct7141
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9606442552
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7349
Negative (%)> 99.9%
Memory size57.6 KiB
2025-03-02T10:04:10.435219image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999965337
Q1-0.9998969075
median-0.99795404
Q3-0.95083495
95-th percentile-0.8302331675
Maximum1
Range2
Interquartile range (IQR)0.0490619575

Descriptive statistics

Standard deviation0.08163613119
Coefficient of variation (CV)-0.08498060624
Kurtosis105.950501
Mean-0.9606442552
Median Absolute Deviation (MAD)0.00202057
Skewness6.862709146
Sum-7062.656564
Variance0.006664457916
MonotonicityNot monotonic
2025-03-02T10:04:10.479472image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99994772 4
 
0.1%
-0.9999202 3
 
< 0.1%
-0.99993243 3
 
< 0.1%
-0.99996358 3
 
< 0.1%
-0.99996075 3
 
< 0.1%
-0.99996426 3
 
< 0.1%
-0.99987914 3
 
< 0.1%
-0.99996919 3
 
< 0.1%
-0.99996986 3
 
< 0.1%
-0.99993337 3
 
< 0.1%
Other values (7131) 7321
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999946 1
< 0.1%
-0.99999697 1
< 0.1%
-0.99999484 1
< 0.1%
-0.99999483 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97381785 1
< 0.1%
0.018666497 1
< 0.1%
-0.0091135439 1
< 0.1%
-0.15602729 1
< 0.1%
Distinct7182
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9515659415
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7343
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:10.522797image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999639525
Q1-0.9998821
median-0.99617353
Q3-0.947158165
95-th percentile-0.7776736165
Maximum1
Range2
Interquartile range (IQR)0.052723935

Descriptive statistics

Standard deviation0.104414931
Coefficient of variation (CV)-0.1097295799
Kurtosis50.40232737
Mean-0.9515659415
Median Absolute Deviation (MAD)0.003798555
Skewness5.393555252
Sum-6995.912802
Variance0.01090247781
MonotonicityNot monotonic
2025-03-02T10:04:10.567186image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99995699 3
 
< 0.1%
-0.99989097 3
 
< 0.1%
-0.99996003 3
 
< 0.1%
-0.99995375 3
 
< 0.1%
-0.99997001 3
 
< 0.1%
-0.99995338 3
 
< 0.1%
-0.99994519 3
 
< 0.1%
-0.99992062 3
 
< 0.1%
-0.99995248 2
 
< 0.1%
-0.99995576 2
 
< 0.1%
Other values (7172) 7324
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999931 1
< 0.1%
-0.9999971 1
< 0.1%
-0.99999627 1
< 0.1%
-0.99999611 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.43985597 1
< 0.1%
0.38961693 1
< 0.1%
0.37495184 1
< 0.1%
0.36095218 1
< 0.1%
Distinct6560
Distinct (%)89.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9687263101
Minimum-0.99999999
Maximum1
Zeros0
Zeros (%)0.0%
Negative7342
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:10.610877image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999999
5-th percentile-0.9999990545
Q1-0.999974515
median-0.999012655
Q3-0.9811852225
95-th percentile-0.8349238155
Maximum1
Range1.99999999
Interquartile range (IQR)0.0187892925

Descriptive statistics

Standard deviation0.09433545881
Coefficient of variation (CV)-0.09738091949
Kurtosis102.0815511
Mean-0.9687263101
Median Absolute Deviation (MAD)0.000986385
Skewness7.931861747
Sum-7122.075832
Variance0.008899178789
MonotonicityNot monotonic
2025-03-02T10:04:10.655484image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999998 11
 
0.1%
-0.99999993 10
 
0.1%
-0.99999997 10
 
0.1%
-0.99999995 10
 
0.1%
-0.9999999 9
 
0.1%
-0.99999994 9
 
0.1%
-0.99999982 9
 
0.1%
-0.99999954 7
 
0.1%
-0.99999989 7
 
0.1%
-0.99999983 7
 
0.1%
Other values (6550) 7263
98.8%
ValueCountFrequency (%)
-0.99999999 4
 
0.1%
-0.99999998 11
0.1%
-0.99999997 10
0.1%
-0.99999996 6
0.1%
-0.99999995 10
0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97712045 1
< 0.1%
0.65721589 1
< 0.1%
0.51439646 1
< 0.1%
0.3802993 1
< 0.1%
Distinct7183
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8803524703
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7277
Negative (%)99.0%
Memory size57.6 KiB
2025-03-02T10:04:10.699244image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99998225
Q1-0.9998658075
median-0.99381897
Q3-0.802928975
95-th percentile-0.584247074
Maximum1
Range2
Interquartile range (IQR)0.1969368325

Descriptive statistics

Standard deviation0.1946296734
Coefficient of variation (CV)-0.2210815326
Kurtosis18.56953782
Mean-0.8803524703
Median Absolute Deviation (MAD)0.00616953
Skewness3.420194551
Sum-6472.351362
Variance0.03788070976
MonotonicityNot monotonic
2025-03-02T10:04:10.743372image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997774 3
 
< 0.1%
-0.99997433 3
 
< 0.1%
-0.9999849 3
 
< 0.1%
-0.99997863 3
 
< 0.1%
-0.99998527 3
 
< 0.1%
-0.99998525 3
 
< 0.1%
-0.9999676 3
 
< 0.1%
-0.99998894 3
 
< 0.1%
-0.99997893 2
 
< 0.1%
-0.99992515 2
 
< 0.1%
Other values (7173) 7324
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999996 1
< 0.1%
-0.99999939 1
< 0.1%
-0.99999882 1
< 0.1%
-0.99999858 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92480468 1
< 0.1%
0.88030266 1
< 0.1%
0.87282416 1
< 0.1%
0.81610304 1
< 0.1%
Distinct7025
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9169662598
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7309
Negative (%)99.4%
Memory size57.6 KiB
2025-03-02T10:04:10.788582image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999763025
Q1-0.99993236
median-0.998495465
Q3-0.8940454075
95-th percentile-0.6297236505
Maximum1
Range2
Interquartile range (IQR)0.1058869525

Descriptive statistics

Standard deviation0.16551637
Coefficient of variation (CV)-0.1805043187
Kurtosis25.75065895
Mean-0.9169662598
Median Absolute Deviation (MAD)0.001486135
Skewness4.181608627
Sum-6741.535942
Variance0.02739566873
MonotonicityNot monotonic
2025-03-02T10:04:10.834215image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99996672 4
 
0.1%
-0.99996617 4
 
0.1%
-0.99998563 3
 
< 0.1%
-0.99993655 3
 
< 0.1%
-0.99995593 3
 
< 0.1%
-0.99996971 3
 
< 0.1%
-0.99995577 3
 
< 0.1%
-0.99997381 3
 
< 0.1%
-0.99993833 3
 
< 0.1%
-0.9999495 3
 
< 0.1%
Other values (7015) 7320
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999723 1
< 0.1%
-0.99999617 1
< 0.1%
-0.99999579 1
< 0.1%
-0.99999567 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97534578 1
< 0.1%
0.79325376 1
< 0.1%
0.73626476 1
< 0.1%
0.72851341 1
< 0.1%
Distinct7027
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9685706668
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7350
Negative (%)> 99.9%
Memory size57.6 KiB
2025-03-02T10:04:10.877169image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999788935
Q1-0.999936385
median-0.998651425
Q3-0.9612411525
95-th percentile-0.8626101425
Maximum1
Range2
Interquartile range (IQR)0.0386952325

Descriptive statistics

Standard deviation0.06831099995
Coefficient of variation (CV)-0.07052763653
Kurtosis188.3027463
Mean-0.9685706668
Median Absolute Deviation (MAD)0.00133374
Skewness9.028931031
Sum-7120.931543
Variance0.004666392714
MonotonicityNot monotonic
2025-03-02T10:04:10.921508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99995922 5
 
0.1%
-0.99997573 5
 
0.1%
-0.99996893 5
 
0.1%
-0.99997849 4
 
0.1%
-0.99996235 4
 
0.1%
-0.9999861 4
 
0.1%
-0.99995275 3
 
< 0.1%
-0.99996942 3
 
< 0.1%
-0.99993072 3
 
< 0.1%
-0.9999476 3
 
< 0.1%
Other values (7017) 7313
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999977 1
< 0.1%
-0.99999845 1
< 0.1%
-0.99999768 1
< 0.1%
-0.99999747 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90921656 1
< 0.1%
-0.18798997 1
< 0.1%
-0.2557517 1
< 0.1%
-0.25701977 1
< 0.1%
Distinct7101
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9590269009
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7341
Negative (%)99.9%
Memory size57.6 KiB
2025-03-02T10:04:10.965171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999976488
Q1-0.9999183725
median-0.99649556
Q3-0.9587715175
95-th percentile-0.8081854405
Maximum1
Range2
Interquartile range (IQR)0.041146855

Descriptive statistics

Standard deviation0.09721431382
Coefficient of variation (CV)-0.101367661
Kurtosis71.66952174
Mean-0.9590269009
Median Absolute Deviation (MAD)0.00348461
Skewness6.485448075
Sum-7050.765776
Variance0.009450622811
MonotonicityNot monotonic
2025-03-02T10:04:11.009244image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997392 3
 
< 0.1%
-0.99996931 3
 
< 0.1%
-0.99997615 3
 
< 0.1%
-0.99996198 3
 
< 0.1%
-0.99995778 3
 
< 0.1%
-0.999955 3
 
< 0.1%
-0.9999497 3
 
< 0.1%
-0.9999755 3
 
< 0.1%
-0.9999577 3
 
< 0.1%
-0.99992633 3
 
< 0.1%
Other values (7091) 7322
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999932 1
< 0.1%
-0.99999836 1
< 0.1%
-0.99999694 1
< 0.1%
-0.99999674 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.67344038 1
< 0.1%
0.49767066 1
< 0.1%
0.36936358 1
< 0.1%
0.3377024 1
< 0.1%
Distinct7201
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8714690056
Minimum-0.99999974
Maximum1
Zeros0
Zeros (%)0.0%
Negative7274
Negative (%)98.9%
Memory size57.6 KiB
2025-03-02T10:04:11.052460image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999974
5-th percentile-0.9999803145
Q1-0.9998582625
median-0.9936177
Q3-0.78171708
95-th percentile-0.5640360465
Maximum1
Range1.99999974
Interquartile range (IQR)0.2181411825

Descriptive statistics

Standard deviation0.2022348918
Coefficient of variation (CV)-0.232062059
Kurtosis15.99453865
Mean-0.8714690056
Median Absolute Deviation (MAD)0.006369225
Skewness3.142273276
Sum-6407.040129
Variance0.04089895145
MonotonicityNot monotonic
2025-03-02T10:04:11.173930image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99997013 3
 
< 0.1%
-0.99998129 3
 
< 0.1%
-0.99995954 3
 
< 0.1%
-0.9999436 3
 
< 0.1%
-0.99995645 3
 
< 0.1%
-0.99995799 3
 
< 0.1%
-0.99998021 2
 
< 0.1%
-0.99997498 2
 
< 0.1%
-0.99992711 2
 
< 0.1%
-0.9999766 2
 
< 0.1%
Other values (7191) 7326
99.6%
ValueCountFrequency (%)
-0.99999974 1
< 0.1%
-0.99999973 1
< 0.1%
-0.99999934 1
< 0.1%
-0.9999993 1
< 0.1%
-0.9999991 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92135313 1
< 0.1%
0.88215457 1
< 0.1%
0.86883671 1
< 0.1%
0.81597733 1
< 0.1%
Distinct6912
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9674739494
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7350
Negative (%)> 99.9%
Memory size57.6 KiB
2025-03-02T10:04:11.217175image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999984269
Q1-0.9999526425
median-0.998953255
Q3-0.9608252425
95-th percentile-0.854840663
Maximum1
Range2
Interquartile range (IQR)0.0391274

Descriptive statistics

Standard deviation0.07186958442
Coefficient of variation (CV)-0.07428580838
Kurtosis163.6456545
Mean-0.9674739494
Median Absolute Deviation (MAD)0.0010339
Skewness8.513261449
Sum-7112.868476
Variance0.005165237164
MonotonicityNot monotonic
2025-03-02T10:04:11.261005image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9999663 4
 
0.1%
-0.9999841 4
 
0.1%
-0.99998246 4
 
0.1%
-0.99995034 4
 
0.1%
-0.99997355 4
 
0.1%
-0.99997081 3
 
< 0.1%
-0.99998645 3
 
< 0.1%
-0.99996363 3
 
< 0.1%
-0.9999801 3
 
< 0.1%
-0.99997586 3
 
< 0.1%
Other values (6902) 7317
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999986 1
< 0.1%
-0.99999921 1
< 0.1%
-0.99999817 1
< 0.1%
-0.99999803 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94848036 1
< 0.1%
-0.13265883 1
< 0.1%
-0.14011549 1
< 0.1%
-0.21636638 1
< 0.1%

fBodyAccMag-mean()
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5855348117
Minimum-0.99989278
Maximum1
Zeros0
Zeros (%)0.0%
Negative6428
Negative (%)87.4%
Memory size57.6 KiB
2025-03-02T10:04:11.304077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99989278
5-th percentile-0.9951785005
Q1-0.9856365675
median-0.88561501
Q3-0.206100065
95-th percentile0.225252819
Maximum1
Range1.99989278
Interquartile range (IQR)0.7795365025

Descriptive statistics

Standard deviation0.4526845325
Coefficient of variation (CV)-0.7731129276
Kurtosis-0.7752043236
Mean-0.5855348117
Median Absolute Deviation (MAD)0.11063444
Skewness0.6884072941
Sum-4304.851936
Variance0.2049232859
MonotonicityNot monotonic
2025-03-02T10:04:11.348870image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99168318 2
 
< 0.1%
-0.95215466 1
 
< 0.1%
-0.7704346 1
 
< 0.1%
-0.93593578 1
 
< 0.1%
-0.92243299 1
 
< 0.1%
-0.92814445 1
 
< 0.1%
-0.9472534 1
 
< 0.1%
-0.95760946 1
 
< 0.1%
-0.97713312 1
 
< 0.1%
-0.98034913 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.99989278 1
< 0.1%
-0.99984191 1
< 0.1%
-0.99979458 1
< 0.1%
-0.99960046 1
< 0.1%
-0.99937175 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99216876 1
< 0.1%
0.94615221 1
< 0.1%
0.90653375 1
< 0.1%
0.90481089 1
< 0.1%

fBodyAccMag-std()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6564953098
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6946
Negative (%)94.5%
Memory size57.6 KiB
2025-03-02T10:04:11.392718image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9960001205
Q1-0.9839036575
median-0.862183005
Q3-0.3774403025
95-th percentile0.01671500675
Maximum1
Range2
Interquartile range (IQR)0.606463355

Descriptive statistics

Standard deviation0.3626318267
Coefficient of variation (CV)-0.5523753502
Kurtosis-0.7631764088
Mean-0.6564953098
Median Absolute Deviation (MAD)0.134772065
Skewness0.6701251922
Sum-4826.553518
Variance0.1315018417
MonotonicityNot monotonic
2025-03-02T10:04:11.437127image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.95613397 1
 
< 0.1%
-0.93950736 1
 
< 0.1%
-0.9170144 1
 
< 0.1%
-0.93563975 1
 
< 0.1%
-0.93817815 1
 
< 0.1%
-0.94306764 1
 
< 0.1%
-0.95527848 1
 
< 0.1%
-0.98076388 1
 
< 0.1%
-0.97491937 1
 
< 0.1%
-0.98925747 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99957955 1
< 0.1%
-0.99954838 1
< 0.1%
-0.9995413 1
< 0.1%
-0.99947642 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.859717 1
< 0.1%
0.60206634 1
< 0.1%
0.51281151 1
< 0.1%
0.50279864 1
< 0.1%

fBodyAccMag-mad()
Real number (ℝ)

Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5939851195
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6487
Negative (%)88.2%
Memory size57.6 KiB
2025-03-02T10:04:11.480711image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9947301875
Q1-0.9825957875
median-0.867996825
Q3-0.2444307125
95-th percentile0.204157791
Maximum1
Range2
Interquartile range (IQR)0.738165075

Descriptive statistics

Standard deviation0.4365640498
Coefficient of variation (CV)-0.7349747248
Kurtosis-0.7986784998
Mean-0.5939851195
Median Absolute Deviation (MAD)0.127865005
Skewness0.6784917926
Sum-4366.978599
Variance0.1905881696
MonotonicityNot monotonic
2025-03-02T10:04:11.525154image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99133191 2
 
< 0.1%
-0.96834966 2
 
< 0.1%
-0.99307982 2
 
< 0.1%
-0.94887014 1
 
< 0.1%
-0.91414103 1
 
< 0.1%
-0.92304957 1
 
< 0.1%
-0.92262176 1
 
< 0.1%
-0.92949319 1
 
< 0.1%
-0.94857934 1
 
< 0.1%
-0.97450781 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99977185 1
< 0.1%
-0.99940645 1
< 0.1%
-0.99922994 1
< 0.1%
-0.99919561 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99508317 1
< 0.1%
0.84057923 1
< 0.1%
0.82177779 1
< 0.1%
0.80062457 1
< 0.1%

fBodyAccMag-max()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7532042788
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7313
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:04:11.568765image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9972200165
Q1-0.98722749
median-0.88470762
Q3-0.5659230425
95-th percentile-0.256347933
Maximum1
Range2
Interquartile range (IQR)0.4213044475

Descriptive statistics

Standard deviation0.2651210547
Coefficient of variation (CV)-0.3519909037
Kurtosis0.1312537709
Mean-0.7532042788
Median Absolute Deviation (MAD)0.11302076
Skewness0.8876262773
Sum-5537.557858
Variance0.07028917366
MonotonicityNot monotonic
2025-03-02T10:04:11.613389image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99584595 2
 
< 0.1%
-0.99713869 2
 
< 0.1%
-0.97432057 1
 
< 0.1%
-0.99054176 1
 
< 0.1%
-0.95742773 1
 
< 0.1%
-0.9484064 1
 
< 0.1%
-0.96685131 1
 
< 0.1%
-0.96236606 1
 
< 0.1%
-0.9860235 1
 
< 0.1%
-0.97996413 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99993251 1
< 0.1%
-0.9996849 1
< 0.1%
-0.99967607 1
< 0.1%
-0.99963436 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.74261589 1
< 0.1%
0.66711413 1
< 0.1%
0.37286628 1
< 0.1%
0.24881078 1
< 0.1%

fBodyAccMag-min()
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.89082587
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7332
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:04:11.656857image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9975226485
Q1-0.991787205
median-0.9708602
Q3-0.83926607
95-th percentile-0.5759373775
Maximum1
Range2
Interquartile range (IQR)0.152521135

Descriptive statistics

Standard deviation0.1615037761
Coefficient of variation (CV)-0.1812966838
Kurtosis13.14574753
Mean-0.89082587
Median Absolute Deviation (MAD)0.02611351
Skewness2.828544961
Sum-6549.351796
Variance0.02608346968
MonotonicityNot monotonic
2025-03-02T10:04:11.700752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99755111 2
 
< 0.1%
-0.97755281 2
 
< 0.1%
-0.9950422 2
 
< 0.1%
-0.98942043 2
 
< 0.1%
-0.92572179 1
 
< 0.1%
-0.71532998 1
 
< 0.1%
-0.97122805 1
 
< 0.1%
-0.99082128 1
 
< 0.1%
-0.99195607 1
 
< 0.1%
-0.98837108 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999978 1
< 0.1%
-0.99997894 1
< 0.1%
-0.99996947 1
< 0.1%
-0.99995032 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.81537553 1
< 0.1%
0.49659509 1
< 0.1%
0.47085286 1
< 0.1%
0.43746629 1
< 0.1%

fBodyAccMag-sma()
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5855348117
Minimum-0.99989278
Maximum1
Zeros0
Zeros (%)0.0%
Negative6428
Negative (%)87.4%
Memory size57.6 KiB
2025-03-02T10:04:11.743937image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99989278
5-th percentile-0.9951785005
Q1-0.9856365675
median-0.88561501
Q3-0.206100065
95-th percentile0.225252819
Maximum1
Range1.99989278
Interquartile range (IQR)0.7795365025

Descriptive statistics

Standard deviation0.4526845325
Coefficient of variation (CV)-0.7731129276
Kurtosis-0.7752043236
Mean-0.5855348117
Median Absolute Deviation (MAD)0.11063444
Skewness0.6884072941
Sum-4304.851936
Variance0.2049232859
MonotonicityNot monotonic
2025-03-02T10:04:11.788518image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99168318 2
 
< 0.1%
-0.95215466 1
 
< 0.1%
-0.7704346 1
 
< 0.1%
-0.93593578 1
 
< 0.1%
-0.92243299 1
 
< 0.1%
-0.92814445 1
 
< 0.1%
-0.9472534 1
 
< 0.1%
-0.95760946 1
 
< 0.1%
-0.97713312 1
 
< 0.1%
-0.98034913 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.99989278 1
< 0.1%
-0.99984191 1
< 0.1%
-0.99979458 1
< 0.1%
-0.99960046 1
< 0.1%
-0.99937175 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99216876 1
< 0.1%
0.94615221 1
< 0.1%
0.90653375 1
< 0.1%
0.90481089 1
< 0.1%

fBodyAccMag-energy()
Real number (ℝ)

Distinct7291
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8174481199
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7271
Negative (%)98.9%
Memory size57.6 KiB
2025-03-02T10:04:11.831985image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999458655
Q1-0.999693495
median-0.987951445
Q3-0.70071322
95-th percentile-0.2674609015
Maximum1
Range2
Interquartile range (IQR)0.298980275

Descriptive statistics

Standard deviation0.2561070934
Coefficient of variation (CV)-0.3133007308
Kurtosis3.023861726
Mean-0.8174481199
Median Absolute Deviation (MAD)0.01201749
Skewness1.686302643
Sum-6009.878577
Variance0.06559084327
MonotonicityNot monotonic
2025-03-02T10:04:11.876137image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99992082 2
 
< 0.1%
-0.99989849 2
 
< 0.1%
-0.99966538 2
 
< 0.1%
-0.99983555 2
 
< 0.1%
-0.99981383 2
 
< 0.1%
-0.99995442 2
 
< 0.1%
-0.99995399 2
 
< 0.1%
-0.9998523 2
 
< 0.1%
-0.99994883 2
 
< 0.1%
-0.99995863 2
 
< 0.1%
Other values (7281) 7332
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999987 1
< 0.1%
-0.99999647 1
< 0.1%
-0.99999495 1
< 0.1%
-0.9999947 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.69244942 1
< 0.1%
0.69228478 1
< 0.1%
0.66805776 1
< 0.1%
0.57771938 1
< 0.1%

fBodyAccMag-iqr()
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6949825382
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7056
Negative (%)96.0%
Memory size57.6 KiB
2025-03-02T10:04:11.922173image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9953320795
Q1-0.98841671
median-0.93621317
Q3-0.425347395
95-th percentile-0.04599422845
Maximum1
Range2
Interquartile range (IQR)0.563069315

Descriptive statistics

Standard deviation0.3503601473
Coefficient of variation (CV)-0.504127986
Kurtosis-0.1690271796
Mean-0.6949825382
Median Absolute Deviation (MAD)0.059880605
Skewness0.8929540251
Sum-5109.511621
Variance0.1227522328
MonotonicityNot monotonic
2025-03-02T10:04:11.967747image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9882897 2
 
< 0.1%
-0.9732732 1
 
< 0.1%
-0.95193786 1
 
< 0.1%
-0.97281932 1
 
< 0.1%
-0.97071532 1
 
< 0.1%
-0.94860876 1
 
< 0.1%
-0.92622007 1
 
< 0.1%
-0.92707757 1
 
< 0.1%
-0.96047138 1
 
< 0.1%
-0.97096133 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99983236 1
< 0.1%
-0.99961783 1
< 0.1%
-0.99951962 1
< 0.1%
-0.99942137 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.85829453 1
< 0.1%
0.81680955 1
< 0.1%
0.73162415 1
< 0.1%
0.64712355 1
< 0.1%

fBodyAccMag-entropy()
Real number (ℝ)

Distinct3828
Distinct (%)52.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.1979266413
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4019
Negative (%)54.7%
Memory size57.6 KiB
2025-03-02T10:04:12.010260image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-0.89253031
median-0.39118691
Q30.4972074
95-th percentile0.72230083
Maximum1
Range2
Interquartile range (IQR)1.38973771

Descriptive statistics

Standard deviation0.6827101934
Coefficient of variation (CV)-3.449309244
Kurtosis-1.748169038
Mean-0.1979266413
Median Absolute Deviation (MAD)0.60881309
Skewness0.1115077198
Sum-1455.156667
Variance0.4660932082
MonotonicityNot monotonic
2025-03-02T10:04:12.054413image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 958
 
13.0%
-0.94618223 520
 
7.1%
-0.90701426 356
 
4.8%
-0.8734817 229
 
3.1%
-0.84367061 125
 
1.7%
-0.85353087 94
 
1.3%
-0.81667357 92
 
1.3%
-0.89253031 73
 
1.0%
-0.82016958 69
 
0.9%
-0.79053264 63
 
0.9%
Other values (3818) 4773
64.9%
ValueCountFrequency (%)
-1 958
13.0%
-0.94618223 520
7.1%
-0.90701426 356
 
4.8%
-0.89253031 73
 
1.0%
-0.8734817 229
 
3.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98948524 1
< 0.1%
0.98612211 1
< 0.1%
0.98551605 1
< 0.1%
0.98168269 1
< 0.1%

fBodyAccMag-maxInds
Real number (ℝ)

Distinct29
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7511538025
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7245
Negative (%)98.5%
Memory size57.6 KiB
2025-03-02T10:04:12.094114image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.79310345
Q3-0.51724138
95-th percentile-0.31034483
Maximum1
Range2
Interquartile range (IQR)0.48275862

Descriptive statistics

Standard deviation0.2687358149
Coefficient of variation (CV)-0.3577640345
Kurtosis2.164458808
Mean-0.7511538025
Median Absolute Deviation (MAD)0.20689655
Skewness1.280706718
Sum-5522.482756
Variance0.0722189382
MonotonicityNot monotonic
2025-03-02T10:04:12.132651image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-1 2077
28.3%
-0.93103448 1158
15.8%
-0.79310345 1039
14.1%
-0.44827586 803
 
10.9%
-0.51724138 412
 
5.6%
-0.37931034 397
 
5.4%
-0.86206897 380
 
5.2%
-0.72413793 358
 
4.9%
-0.5862069 192
 
2.6%
-0.31034483 135
 
1.8%
Other values (19) 401
 
5.5%
ValueCountFrequency (%)
-1 2077
28.3%
-0.93103448 1158
15.8%
-0.86206897 380
 
5.2%
-0.79310345 1039
14.1%
-0.72413793 358
 
4.9%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.93103448 1
 
< 0.1%
0.86206897 1
 
< 0.1%
0.72413793 4
0.1%
0.65517241 2
< 0.1%

fBodyAccMag-meanFreq()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.07313679897
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative2873
Negative (%)39.1%
Memory size57.6 KiB
2025-03-02T10:04:12.173973image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3618296765
Q1-0.0989397115
median0.0676941165
Q30.2417014525
95-th percentile0.536137175
Maximum1
Range2
Interquartile range (IQR)0.340641164

Descriptive statistics

Standard deviation0.2672476341
Coefficient of variation (CV)3.654078902
Kurtosis0.161670012
Mean0.07313679897
Median Absolute Deviation (MAD)0.170261405
Skewness0.0203829308
Sum537.701746
Variance0.07142129793
MonotonicityNot monotonic
2025-03-02T10:04:12.217625image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.08843612 1
 
< 0.1%
-0.39304159 1
 
< 0.1%
-0.3364722 1
 
< 0.1%
-0.0033710377 1
 
< 0.1%
0.0031283606 1
 
< 0.1%
-0.32957279 1
 
< 0.1%
-0.15412814 1
 
< 0.1%
0.09185241 1
 
< 0.1%
-0.1175995 1
 
< 0.1%
0.24955638 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.92491884 1
< 0.1%
-0.8873453 1
< 0.1%
-0.87913229 1
< 0.1%
-0.86217459 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98358032 1
< 0.1%
0.94476734 1
< 0.1%
0.91806564 1
< 0.1%
0.90908317 1
< 0.1%

fBodyAccMag-skewness()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3472569412
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6343
Negative (%)86.3%
Memory size57.6 KiB
2025-03-02T10:04:12.338410image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7581728575
Q1-0.57469334
median-0.418500025
Q3-0.196372285
95-th percentile0.34247315
Maximum1
Range2
Interquartile range (IQR)0.378321055

Descriptive statistics

Standard deviation0.328649106
Coefficient of variation (CV)-0.9464147924
Kurtosis1.39073871
Mean-0.3472569412
Median Absolute Deviation (MAD)0.179152815
Skewness1.156381263
Sum-2553.033032
Variance0.1080102349
MonotonicityNot monotonic
2025-03-02T10:04:12.382669image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.43647104 1
 
< 0.1%
-0.11106896 1
 
< 0.1%
0.22345622 1
 
< 0.1%
-0.43377965 1
 
< 0.1%
-0.33881644 1
 
< 0.1%
-0.48051596 1
 
< 0.1%
-0.26937108 1
 
< 0.1%
-0.55838196 1
 
< 0.1%
-0.18989831 1
 
< 0.1%
-0.56392665 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.98170603 1
< 0.1%
-0.97082134 1
< 0.1%
-0.92938956 1
< 0.1%
-0.91802018 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98944178 1
< 0.1%
0.96318324 1
< 0.1%
0.95792128 1
< 0.1%
0.95293725 1
< 0.1%

fBodyAccMag-kurtosis()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6266380689
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6889
Negative (%)93.7%
Memory size57.6 KiB
2025-03-02T10:04:12.426348image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.93506948
Q1-0.844213925
median-0.732280975
Q3-0.525251845
95-th percentile0.107474433
Maximum1
Range2
Interquartile range (IQR)0.31896208

Descriptive statistics

Standard deviation0.327386876
Coefficient of variation (CV)-0.5224497077
Kurtosis3.831187248
Mean-0.6266380689
Median Absolute Deviation (MAD)0.13787061
Skewness1.881882439
Sum-4607.043083
Variance0.1071821665
MonotonicityNot monotonic
2025-03-02T10:04:12.470722image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.79684048 1
 
< 0.1%
-0.48795881 1
 
< 0.1%
-0.0018418529 1
 
< 0.1%
-0.75164083 1
 
< 0.1%
-0.59871166 1
 
< 0.1%
-0.80982914 1
 
< 0.1%
-0.55949693 1
 
< 0.1%
-0.81502302 1
 
< 0.1%
-0.57522118 1
 
< 0.1%
-0.82939157 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99922171 1
< 0.1%
-0.99652737 1
< 0.1%
-0.99047868 1
< 0.1%
-0.99031978 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9842714 1
< 0.1%
0.95139973 1
< 0.1%
0.94364478 1
< 0.1%
0.93768921 1
< 0.1%
Distinct7345
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6242637753
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6640
Negative (%)90.3%
Memory size57.6 KiB
2025-03-02T10:04:12.513126image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9957204905
Q1-0.9903507875
median-0.94033843
Q3-0.2588885175
95-th percentile0.1234950045
Maximum1
Range2
Interquartile range (IQR)0.73146227

Descriptive statistics

Standard deviation0.4288418426
Coefficient of variation (CV)-0.6869561548
Kurtosis-0.7590108527
Mean-0.6242637753
Median Absolute Deviation (MAD)0.055994765
Skewness0.7203451211
Sum-4589.587276
Variance0.183905326
MonotonicityNot monotonic
2025-03-02T10:04:12.557814image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99381021 2
 
< 0.1%
-0.99304485 2
 
< 0.1%
-0.99047646 2
 
< 0.1%
-0.98629586 2
 
< 0.1%
-0.99487722 2
 
< 0.1%
-0.99618017 2
 
< 0.1%
-0.99650518 2
 
< 0.1%
-0.99116947 1
 
< 0.1%
-0.97700151 1
 
< 0.1%
-0.97102674 1
 
< 0.1%
Other values (7335) 7335
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99983767 1
< 0.1%
-0.99978085 1
< 0.1%
-0.99974244 1
< 0.1%
-0.99947946 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9871232 1
< 0.1%
0.94307866 1
< 0.1%
0.86909556 1
< 0.1%
0.81272874 1
< 0.1%

fBodyBodyAccJerkMag-std()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6469273506
Minimum-0.99996007
Maximum1
Zeros0
Zeros (%)0.0%
Negative6769
Negative (%)92.1%
Memory size57.6 KiB
2025-03-02T10:04:12.600725image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99996007
5-th percentile-0.9958152455
Q1-0.9911257575
median-0.937283885
Q3-0.31405019
95-th percentile0.0844346116
Maximum1
Range1.99996007
Interquartile range (IQR)0.6770755675

Descriptive statistics

Standard deviation0.4047178292
Coefficient of variation (CV)-0.6256001215
Kurtosis-0.691647418
Mean-0.6469273506
Median Absolute Deviation (MAD)0.058916975
Skewness0.7577622663
Sum-4756.209882
Variance0.1637965212
MonotonicityNot monotonic
2025-03-02T10:04:12.645143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98806614 2
 
< 0.1%
-0.99649699 2
 
< 0.1%
-0.96706431 1
 
< 0.1%
-0.98434402 1
 
< 0.1%
-0.96654071 1
 
< 0.1%
-0.95412271 1
 
< 0.1%
-0.92524248 1
 
< 0.1%
-0.93302209 1
 
< 0.1%
-0.9738045 1
 
< 0.1%
-0.98149126 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-0.99996007 1
< 0.1%
-0.99958203 1
< 0.1%
-0.99952753 1
< 0.1%
-0.99899838 1
< 0.1%
-0.99899102 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.82424234 1
< 0.1%
0.80167237 1
< 0.1%
0.7832629 1
< 0.1%
0.76664109 1
< 0.1%

fBodyBodyAccJerkMag-mad()
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6187496099
Minimum-0.9991519
Maximum1
Zeros0
Zeros (%)0.0%
Negative6588
Negative (%)89.6%
Memory size57.6 KiB
2025-03-02T10:04:12.687838image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.9991519
5-th percentile-0.9943092015
Q1-0.9887185875
median-0.934289335
Q3-0.249015235
95-th percentile0.148552275
Maximum1
Range1.9991519
Interquartile range (IQR)0.7397033525

Descriptive statistics

Standard deviation0.4336878782
Coefficient of variation (CV)-0.7009101439
Kurtosis-0.7357287218
Mean-0.6187496099
Median Absolute Deviation (MAD)0.060560225
Skewness0.7332030288
Sum-4549.047132
Variance0.1880851757
MonotonicityNot monotonic
2025-03-02T10:04:12.732594image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98945173 2
 
< 0.1%
-0.99364558 2
 
< 0.1%
-0.98928462 2
 
< 0.1%
-0.9937871 2
 
< 0.1%
-0.98694711 1
 
< 0.1%
-0.98089238 1
 
< 0.1%
-0.96532191 1
 
< 0.1%
-0.95324646 1
 
< 0.1%
-0.929832 1
 
< 0.1%
-0.93434013 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-0.9991519 1
< 0.1%
-0.99880144 1
< 0.1%
-0.99844001 1
< 0.1%
-0.99821394 1
< 0.1%
-0.99796548 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97122839 1
< 0.1%
0.90353075 1
< 0.1%
0.86786003 1
< 0.1%
0.80721401 1
< 0.1%

fBodyBodyAccJerkMag-max()
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6911822628
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6964
Negative (%)94.7%
Memory size57.6 KiB
2025-03-02T10:04:12.775419image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996749732
Q1-0.99277479
median-0.943895045
Q3-0.4219568825
95-th percentile0.01148399345
Maximum1
Range2
Interquartile range (IQR)0.5708179075

Descriptive statistics

Standard deviation0.3660486226
Coefficient of variation (CV)-0.5295978244
Kurtosis-0.1457573642
Mean-0.6911822628
Median Absolute Deviation (MAD)0.053231415
Skewness0.9333949869
Sum-5081.571996
Variance0.1339915941
MonotonicityNot monotonic
2025-03-02T10:04:12.819790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99625514 2
 
< 0.1%
-0.9758381 2
 
< 0.1%
-0.99217241 2
 
< 0.1%
-0.99216733 2
 
< 0.1%
-0.99076062 1
 
< 0.1%
-0.97253383 1
 
< 0.1%
-0.99392461 1
 
< 0.1%
-0.9862668 1
 
< 0.1%
-0.99261544 1
 
< 0.1%
-0.99668331 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99958538 1
< 0.1%
-0.99953594 1
< 0.1%
-0.99932258 1
< 0.1%
-0.99927333 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.83038559 1
< 0.1%
0.77388382 1
< 0.1%
0.73562058 1
< 0.1%
0.69676245 1
< 0.1%

fBodyBodyAccJerkMag-min()
Real number (ℝ)

Distinct7346
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8062765899
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7230
Negative (%)98.3%
Memory size57.6 KiB
2025-03-02T10:04:12.862111image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995552342
Q1-0.98715336
median-0.96278835
Q3-0.6840947175
95-th percentile-0.239504362
Maximum1
Range2
Interquartile range (IQR)0.3030586425

Descriptive statistics

Standard deviation0.269535399
Coefficient of variation (CV)-0.3342964466
Kurtosis4.08341437
Mean-0.8062765899
Median Absolute Deviation (MAD)0.03223481
Skewness1.87644823
Sum-5927.745489
Variance0.07264933132
MonotonicityNot monotonic
2025-03-02T10:04:12.906771image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98993296 2
 
< 0.1%
-0.97428269 2
 
< 0.1%
-0.9862836 2
 
< 0.1%
-0.99035528 2
 
< 0.1%
-0.98547921 2
 
< 0.1%
-0.97984944 2
 
< 0.1%
-0.99508087 1
 
< 0.1%
-0.99907032 1
 
< 0.1%
-0.98899786 1
 
< 0.1%
-0.95040302 1
 
< 0.1%
Other values (7336) 7336
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998886 1
< 0.1%
-0.99996345 1
< 0.1%
-0.99988977 1
< 0.1%
-0.99988611 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.91423579 1
< 0.1%
0.91222553 1
< 0.1%
0.897466 1
< 0.1%
0.76846184 1
< 0.1%

fBodyBodyAccJerkMag-sma()
Real number (ℝ)

Distinct7345
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6242637753
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6640
Negative (%)90.3%
Memory size57.6 KiB
2025-03-02T10:04:12.949540image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9957204905
Q1-0.9903507875
median-0.94033843
Q3-0.2588885175
95-th percentile0.1234950045
Maximum1
Range2
Interquartile range (IQR)0.73146227

Descriptive statistics

Standard deviation0.4288418426
Coefficient of variation (CV)-0.6869561548
Kurtosis-0.7590108527
Mean-0.6242637753
Median Absolute Deviation (MAD)0.055994765
Skewness0.7203451211
Sum-4589.587276
Variance0.183905326
MonotonicityNot monotonic
2025-03-02T10:04:12.994176image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99381021 2
 
< 0.1%
-0.99304485 2
 
< 0.1%
-0.99047646 2
 
< 0.1%
-0.98629586 2
 
< 0.1%
-0.99487722 2
 
< 0.1%
-0.99618017 2
 
< 0.1%
-0.99650518 2
 
< 0.1%
-0.99116947 1
 
< 0.1%
-0.97700151 1
 
< 0.1%
-0.97102674 1
 
< 0.1%
Other values (7335) 7335
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99983767 1
< 0.1%
-0.99978085 1
< 0.1%
-0.99974244 1
< 0.1%
-0.99947946 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.9871232 1
< 0.1%
0.94307866 1
< 0.1%
0.86909556 1
< 0.1%
0.81272874 1
< 0.1%
Distinct7195
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8421875881
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7295
Negative (%)99.2%
Memory size57.6 KiB
2025-03-02T10:04:13.039506image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999948274
Q1-0.9998623825
median-0.99749396
Q3-0.7314246425
95-th percentile-0.384476635
Maximum1
Range2
Interquartile range (IQR)0.26843774

Descriptive statistics

Standard deviation0.2305804581
Coefficient of variation (CV)-0.2737875283
Kurtosis4.315029872
Mean-0.8421875881
Median Absolute Deviation (MAD)0.00246822
Skewness1.839669836
Sum-6191.763148
Variance0.05316734767
MonotonicityNot monotonic
2025-03-02T10:04:13.084223image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99991055 3
 
< 0.1%
-0.99991389 3
 
< 0.1%
-0.99992826 3
 
< 0.1%
-0.99996096 3
 
< 0.1%
-0.99992097 3
 
< 0.1%
-0.99994309 3
 
< 0.1%
-0.99993306 3
 
< 0.1%
-0.99994166 3
 
< 0.1%
-0.99994999 3
 
< 0.1%
-0.99973187 2
 
< 0.1%
Other values (7185) 7323
99.6%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9999992 1
< 0.1%
-0.9999989 1
< 0.1%
-0.99999763 1
< 0.1%
-0.99999376 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.63730279 1
< 0.1%
0.61435448 1
< 0.1%
0.58749109 1
< 0.1%
0.56773555 1
< 0.1%

fBodyBodyAccJerkMag-iqr()
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6786182506
Minimum-0.99949935
Maximum1
Zeros0
Zeros (%)0.0%
Negative7016
Negative (%)95.4%
Memory size57.6 KiB
2025-03-02T10:04:13.127541image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99949935
5-th percentile-0.994836385
Q1-0.989044095
median-0.950501615
Q3-0.3719885325
95-th percentile-0.0141354921
Maximum1
Range1.99949935
Interquartile range (IQR)0.6170555625

Descriptive statistics

Standard deviation0.3706119511
Coefficient of variation (CV)-0.5461272974
Kurtosis-0.4048158101
Mean-0.6786182506
Median Absolute Deviation (MAD)0.044862895
Skewness0.8228132433
Sum-4989.201378
Variance0.1373532183
MonotonicityNot monotonic
2025-03-02T10:04:13.172009image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99369813 2
 
< 0.1%
-0.99491005 2
 
< 0.1%
-0.99173275 2
 
< 0.1%
-0.99261772 2
 
< 0.1%
-0.99145839 2
 
< 0.1%
-0.99136366 1
 
< 0.1%
-0.98766915 1
 
< 0.1%
-0.97809149 1
 
< 0.1%
-0.96033864 1
 
< 0.1%
-0.95304163 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-0.99949935 1
< 0.1%
-0.99946756 1
< 0.1%
-0.99939045 1
< 0.1%
-0.99929004 1
< 0.1%
-0.99928883 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.87255123 1
< 0.1%
0.77703199 1
< 0.1%
0.7232577 1
< 0.1%
0.68766814 1
< 0.1%
Distinct3396
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3476565841
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4209
Negative (%)57.2%
Memory size57.6 KiB
2025-03-02T10:04:13.214586image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.74080641
Q30.3506403075
95-th percentile0.6063781265
Maximum1
Range2
Interquartile range (IQR)1.350640307

Descriptive statistics

Standard deviation0.6701115509
Coefficient of variation (CV)-1.927510025
Kurtosis-1.733112209
Mean-0.3476565841
Median Absolute Deviation (MAD)0.25919359
Skewness0.2608130769
Sum-2555.971206
Variance0.4490494906
MonotonicityNot monotonic
2025-03-02T10:04:13.258823image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 2841
38.6%
-0.940965 298
 
4.1%
-0.89799999 173
 
2.4%
-0.8612167 117
 
1.6%
-0.82851565 78
 
1.1%
-0.79890145 52
 
0.7%
-0.7717892 33
 
0.4%
-0.74679365 28
 
0.4%
-0.72364204 21
 
0.3%
-0.68909729 20
 
0.3%
Other values (3386) 3691
50.2%
ValueCountFrequency (%)
-1 2841
38.6%
-0.940965 298
 
4.1%
-0.89799999 173
 
2.4%
-0.88211193 9
 
0.1%
-0.8612167 117
 
1.6%
ValueCountFrequency (%)
1 1
< 0.1%
0.95820415 1
< 0.1%
0.93144813 1
< 0.1%
0.90664559 1
< 0.1%
0.90131487 1
< 0.1%
Distinct57
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8779945407
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7234
Negative (%)98.4%
Memory size57.6 KiB
2025-03-02T10:04:13.302283image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-0.96825397
median-0.9047619
Q3-0.87301587
95-th percentile-0.65079365
Maximum1
Range2
Interquartile range (IQR)0.0952381

Descriptive statistics

Standard deviation0.1886362813
Coefficient of variation (CV)-0.2148490367
Kurtosis30.82981521
Mean-0.8779945407
Median Absolute Deviation (MAD)0.03174604
Skewness5.008923441
Sum-6455.015863
Variance0.03558364663
MonotonicityNot monotonic
2025-03-02T10:04:13.345910image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9047619 2056
28.0%
-1 1446
19.7%
-0.87301587 1313
17.9%
-0.96825397 679
 
9.2%
-0.93650794 657
 
8.9%
-0.84126984 204
 
2.8%
-0.80952381 178
 
2.4%
-0.77777778 132
 
1.8%
-0.74603175 120
 
1.6%
-0.71428571 85
 
1.2%
Other values (47) 482
 
6.6%
ValueCountFrequency (%)
-1 1446
19.7%
-0.96825397 679
 
9.2%
-0.93650794 657
 
8.9%
-0.9047619 2056
28.0%
-0.87301587 1313
17.9%
ValueCountFrequency (%)
1 2
< 0.1%
0.93650794 1
< 0.1%
0.80952381 1
< 0.1%
0.71428571 2
< 0.1%
0.68253968 1
< 0.1%

fBodyBodyAccJerkMag-meanFreq()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1781954027
Minimum-1
Maximum0.97582069
Zeros0
Zeros (%)0.0%
Negative1842
Negative (%)25.1%
Memory size57.6 KiB
2025-03-02T10:04:13.467467image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.225617975
Q1-0.00040949583
median0.16864544
Q30.36424025
95-th percentile0.5958259665
Maximum0.97582069
Range1.97582069
Interquartile range (IQR)0.3646497458

Descriptive statistics

Standard deviation0.2537551284
Coefficient of variation (CV)1.424027358
Kurtosis-0.1819781346
Mean0.1781954027
Median Absolute Deviation (MAD)0.180082547
Skewness-0.05782707369
Sum1310.0926
Variance0.06439166518
MonotonicityNot monotonic
2025-03-02T10:04:13.513508image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.34698853 1
 
< 0.1%
0.44976386 1
 
< 0.1%
0.025329284 1
 
< 0.1%
-0.04485455 1
 
< 0.1%
-0.20782276 1
 
< 0.1%
0.13819753 1
 
< 0.1%
0.46730209 1
 
< 0.1%
0.45808659 1
 
< 0.1%
0.69686602 1
 
< 0.1%
0.24735835 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.75515349 1
< 0.1%
-0.72831363 1
< 0.1%
-0.71264178 1
< 0.1%
-0.69351892 1
< 0.1%
ValueCountFrequency (%)
0.97582069 1
< 0.1%
0.89274342 1
< 0.1%
0.88592981 1
< 0.1%
0.87188643 1
< 0.1%
0.86839632 1
< 0.1%

fBodyBodyAccJerkMag-skewness()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3129675557
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative5884
Negative (%)80.0%
Memory size57.6 KiB
2025-03-02T10:04:13.557468image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.783247554
Q1-0.6074853375
median-0.36478399
Q3-0.08256889575
95-th percentile0.3659723865
Maximum1
Range2
Interquartile range (IQR)0.5249164417

Descriptive statistics

Standard deviation0.3586305619
Coefficient of variation (CV)-1.145903322
Kurtosis-0.1698611798
Mean-0.3129675557
Median Absolute Deviation (MAD)0.257653765
Skewness0.6535719668
Sum-2300.937469
Variance0.1286158799
MonotonicityNot monotonic
2025-03-02T10:04:13.602846image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.51608015 1
 
< 0.1%
-0.57415878 1
 
< 0.1%
0.015212355 1
 
< 0.1%
0.22265871 1
 
< 0.1%
-0.0561517 1
 
< 0.1%
-0.19467704 1
 
< 0.1%
-0.74475848 1
 
< 0.1%
-0.77063375 1
 
< 0.1%
-0.80231755 1
 
< 0.1%
-0.67702029 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9900438 1
< 0.1%
-0.97216005 1
< 0.1%
-0.97059582 1
< 0.1%
-0.9523325 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.92826962 1
< 0.1%
0.91203297 1
< 0.1%
0.89511344 1
< 0.1%
0.88989097 1
< 0.1%

fBodyBodyAccJerkMag-kurtosis()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6154411882
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative6813
Negative (%)92.7%
Memory size57.6 KiB
2025-03-02T10:04:13.646053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.958425939
Q1-0.88225417
median-0.727332235
Q3-0.4499972525
95-th percentile0.1077441185
Maximum1
Range2
Interquartile range (IQR)0.4322569175

Descriptive statistics

Standard deviation0.3453294061
Coefficient of variation (CV)-0.5611087017
Kurtosis1.400104917
Mean-0.6154411882
Median Absolute Deviation (MAD)0.18203871
Skewness1.338270095
Sum-4524.723616
Variance0.1192523987
MonotonicityNot monotonic
2025-03-02T10:04:13.690080image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.80276003 1
 
< 0.1%
-0.79416367 1
 
< 0.1%
-0.29769781 1
 
< 0.1%
-0.094992198 1
 
< 0.1%
-0.48233854 1
 
< 0.1%
-0.50043546 1
 
< 0.1%
-0.94851165 1
 
< 0.1%
-0.94624513 1
 
< 0.1%
-0.97990201 1
 
< 0.1%
-0.93372388 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99871663 1
< 0.1%
-0.99802089 1
< 0.1%
-0.99582221 1
< 0.1%
-0.99471787 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.90154238 1
< 0.1%
0.876702 1
< 0.1%
0.84030344 1
< 0.1%
0.82897491 1
< 0.1%

fBodyBodyGyroMag-mean()
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.693209575
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7107
Negative (%)96.7%
Memory size57.6 KiB
2025-03-02T10:04:13.733854image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996198529
Q1-0.98412258
median-0.88643927
Q3-0.438438515
95-th percentile-0.09078856585
Maximum1
Range2
Interquartile range (IQR)0.545684065

Descriptive statistics

Standard deviation0.3350257244
Coefficient of variation (CV)-0.4832964467
Kurtosis0.2843562101
Mean-0.693209575
Median Absolute Deviation (MAD)0.110344535
Skewness0.9432508872
Sum-5096.476796
Variance0.112242236
MonotonicityNot monotonic
2025-03-02T10:04:13.778606image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98880825 2
 
< 0.1%
-0.92131362 1
 
< 0.1%
-0.87829234 1
 
< 0.1%
-0.87337597 1
 
< 0.1%
-0.88475653 1
 
< 0.1%
-0.85769204 1
 
< 0.1%
-0.8688532 1
 
< 0.1%
-0.88030014 1
 
< 0.1%
-0.96682784 1
 
< 0.1%
-0.98007665 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99975634 1
< 0.1%
-0.99973228 1
< 0.1%
-0.99962127 1
< 0.1%
-0.99962071 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.82778409 1
< 0.1%
0.73293284 1
< 0.1%
0.72837066 1
< 0.1%
0.70749149 1
< 0.1%

fBodyBodyGyroMag-std()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6928758373
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7140
Negative (%)97.1%
Memory size57.6 KiB
2025-03-02T10:04:13.822376image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9958745775
Q1-0.980329295
median-0.8376984
Q3-0.4519004825
95-th percentile-0.1131502565
Maximum1
Range2
Interquartile range (IQR)0.5284288125

Descriptive statistics

Standard deviation0.3228503868
Coefficient of variation (CV)-0.4659570581
Kurtosis0.09933385747
Mean-0.6928758373
Median Absolute Deviation (MAD)0.157330125
Skewness0.8934600262
Sum-5094.023156
Variance0.1042323723
MonotonicityNot monotonic
2025-03-02T10:04:13.867139image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99438319 2
 
< 0.1%
-0.99469578 2
 
< 0.1%
-0.96130944 1
 
< 0.1%
-0.88895139 1
 
< 0.1%
-0.87874269 1
 
< 0.1%
-0.84201962 1
 
< 0.1%
-0.77207616 1
 
< 0.1%
-0.76048202 1
 
< 0.1%
-0.95354075 1
 
< 0.1%
-0.97773917 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99992559 1
< 0.1%
-0.99985779 1
< 0.1%
-0.9998396 1
< 0.1%
-0.99969294 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.67593534 1
< 0.1%
0.67513589 1
< 0.1%
0.55463619 1
< 0.1%
0.539142 1
< 0.1%

fBodyBodyGyroMag-mad()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6748297521
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7103
Negative (%)96.6%
Memory size57.6 KiB
2025-03-02T10:04:13.911180image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.995624941
Q1-0.9804534675
median-0.859053495
Q3-0.397123445
95-th percentile-0.0834879211
Maximum1
Range2
Interquartile range (IQR)0.5833300225

Descriptive statistics

Standard deviation0.3434535534
Coefficient of variation (CV)-0.5089484456
Kurtosis-0.07544326016
Mean-0.6748297521
Median Absolute Deviation (MAD)0.1370674
Skewness0.834790562
Sum-4961.348338
Variance0.1179603434
MonotonicityNot monotonic
2025-03-02T10:04:13.955787image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99420676 2
 
< 0.1%
-0.99253617 2
 
< 0.1%
-0.97365344 1
 
< 0.1%
-0.95593257 1
 
< 0.1%
-0.79268348 1
 
< 0.1%
-0.83019009 1
 
< 0.1%
-0.85224704 1
 
< 0.1%
-0.8088383 1
 
< 0.1%
-0.78132374 1
 
< 0.1%
-0.79155858 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999036 1
< 0.1%
-0.9999717 1
< 0.1%
-0.9999685 1
< 0.1%
-0.99976441 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.84341766 1
< 0.1%
0.74763268 1
< 0.1%
0.73099077 1
< 0.1%
0.71270654 1
< 0.1%

fBodyBodyGyroMag-max()
Real number (ℝ)

Distinct7350
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7266454657
Minimum-1
Maximum0.84211941
Zeros0
Zeros (%)0.0%
Negative7204
Negative (%)98.0%
Memory size57.6 KiB
2025-03-02T10:04:13.998399image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.99617856
Q1-0.98102904
median-0.836295665
Q3-0.540666175
95-th percentile-0.167307358
Maximum0.84211941
Range1.84211941
Interquartile range (IQR)0.440362865

Descriptive statistics

Standard deviation0.2930983188
Coefficient of variation (CV)-0.4033580786
Kurtosis0.5126485231
Mean-0.7266454657
Median Absolute Deviation (MAD)0.15672078
Skewness1.044930975
Sum-5342.297464
Variance0.08590662451
MonotonicityNot monotonic
2025-03-02T10:04:14.041182image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99433264 2
 
< 0.1%
-0.99179347 2
 
< 0.1%
-0.95226383 1
 
< 0.1%
-0.97746107 1
 
< 0.1%
-0.88839977 1
 
< 0.1%
-0.79781772 1
 
< 0.1%
-0.74945505 1
 
< 0.1%
-0.95579339 1
 
< 0.1%
-0.98201886 1
 
< 0.1%
-0.98375622 1
 
< 0.1%
Other values (7340) 7340
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99970904 1
< 0.1%
-0.99966752 1
< 0.1%
-0.99950536 1
< 0.1%
-0.99948547 1
< 0.1%
ValueCountFrequency (%)
0.84211941 1
< 0.1%
0.55209168 1
< 0.1%
0.52899622 1
< 0.1%
0.52635223 1
< 0.1%
0.50163993 1
< 0.1%

fBodyBodyGyroMag-min()
Real number (ℝ)

Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8851028677
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7314
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:04:14.084287image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9985380565
Q1-0.994188835
median-0.9601362
Q3-0.837424615
95-th percentile-0.5605771115
Maximum1
Range2
Interquartile range (IQR)0.15676422

Descriptive statistics

Standard deviation0.1735739877
Coefficient of variation (CV)-0.1961060053
Kurtosis13.03969496
Mean-0.8851028677
Median Absolute Deviation (MAD)0.037628525
Skewness2.962503296
Sum-6507.276284
Variance0.0301279292
MonotonicityNot monotonic
2025-03-02T10:04:14.130730image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99705076 2
 
< 0.1%
-0.99863075 2
 
< 0.1%
-0.99792305 2
 
< 0.1%
-0.9972311 2
 
< 0.1%
-0.99433258 2
 
< 0.1%
-0.98949813 1
 
< 0.1%
-0.99111133 1
 
< 0.1%
-0.98783286 1
 
< 0.1%
-0.9809183 1
 
< 0.1%
-0.98874232 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999776 1
< 0.1%
-0.99999139 1
< 0.1%
-0.99999122 1
< 0.1%
-0.99998652 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.69248943 1
< 0.1%
0.55767266 1
< 0.1%
0.46225203 1
< 0.1%
0.40787222 1
< 0.1%

fBodyBodyGyroMag-sma()
Real number (ℝ)

Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.693209575
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7107
Negative (%)96.7%
Memory size57.6 KiB
2025-03-02T10:04:14.176962image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.996198529
Q1-0.98412258
median-0.88643927
Q3-0.438438515
95-th percentile-0.09078856585
Maximum1
Range2
Interquartile range (IQR)0.545684065

Descriptive statistics

Standard deviation0.3350257244
Coefficient of variation (CV)-0.4832964467
Kurtosis0.2843562101
Mean-0.693209575
Median Absolute Deviation (MAD)0.110344535
Skewness0.9432508872
Sum-5096.476796
Variance0.112242236
MonotonicityNot monotonic
2025-03-02T10:04:14.221643image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.98880825 2
 
< 0.1%
-0.92131362 1
 
< 0.1%
-0.87829234 1
 
< 0.1%
-0.87337597 1
 
< 0.1%
-0.88475653 1
 
< 0.1%
-0.85769204 1
 
< 0.1%
-0.8688532 1
 
< 0.1%
-0.88030014 1
 
< 0.1%
-0.96682784 1
 
< 0.1%
-0.98007665 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99975634 1
< 0.1%
-0.99973228 1
< 0.1%
-0.99962127 1
< 0.1%
-0.99962071 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.82778409 1
< 0.1%
0.73293284 1
< 0.1%
0.72837066 1
< 0.1%
0.70749149 1
< 0.1%

fBodyBodyGyroMag-energy()
Real number (ℝ)

Distinct7255
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8742923311
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7304
Negative (%)99.3%
Memory size57.6 KiB
2025-03-02T10:04:14.265321image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.999974516
Q1-0.99972541
median-0.98626563
Q3-0.80074325
95-th percentile-0.5102651435
Maximum1
Range2
Interquartile range (IQR)0.19898216

Descriptive statistics

Standard deviation0.1926842043
Coefficient of variation (CV)-0.2203887618
Kurtosis9.683650228
Mean-0.8742923311
Median Absolute Deviation (MAD)0.01372012
Skewness2.536646536
Sum-6427.797218
Variance0.03712720258
MonotonicityNot monotonic
2025-03-02T10:04:14.309015image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99988014 3
 
< 0.1%
-0.99993981 3
 
< 0.1%
-0.99978112 2
 
< 0.1%
-0.9998761 2
 
< 0.1%
-0.99996179 2
 
< 0.1%
-0.9999823 2
 
< 0.1%
-0.99997364 2
 
< 0.1%
-0.99977684 2
 
< 0.1%
-0.99991494 2
 
< 0.1%
-0.99975477 2
 
< 0.1%
Other values (7245) 7330
99.7%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999907 1
< 0.1%
-0.9999987 1
< 0.1%
-0.99999846 1
< 0.1%
-0.99999829 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.84448888 1
< 0.1%
0.72045852 1
< 0.1%
0.59789304 1
< 0.1%
0.54049758 1
< 0.1%

fBodyBodyGyroMag-iqr()
Real number (ℝ)

Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.719795301
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7148
Negative (%)97.2%
Memory size57.6 KiB
2025-03-02T10:04:14.352308image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9962309665
Q1-0.986632655
median-0.923297805
Q3-0.4842016425
95-th percentile-0.131657502
Maximum1
Range2
Interquartile range (IQR)0.5024310125

Descriptive statistics

Standard deviation0.3187060903
Coefficient of variation (CV)-0.4427732299
Kurtosis0.4962027221
Mean-0.719795301
Median Absolute Deviation (MAD)0.073689435
Skewness1.029589134
Sum-5291.935053
Variance0.101573572
MonotonicityNot monotonic
2025-03-02T10:04:14.397178image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9887733 2
 
< 0.1%
-0.98661245 2
 
< 0.1%
-0.48845231 2
 
< 0.1%
-0.99378924 2
 
< 0.1%
-0.99265553 1
 
< 0.1%
-0.96802529 1
 
< 0.1%
-0.95463209 1
 
< 0.1%
-0.97181769 1
 
< 0.1%
-0.97642439 1
 
< 0.1%
-0.9726041 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99998208 1
< 0.1%
-0.99992518 1
< 0.1%
-0.99984557 1
< 0.1%
-0.99976481 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.91789925 1
< 0.1%
0.74672957 1
< 0.1%
0.70646873 1
< 0.1%
0.65433865 1
< 0.1%
Distinct4458
Distinct (%)60.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.08787815809
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3916
Negative (%)53.3%
Memory size57.6 KiB
2025-03-02T10:04:14.441307image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.92407535
Q1-0.69039683
median-0.1902229
Q30.5157887425
95-th percentile0.72343368
Maximum1
Range2
Interquartile range (IQR)1.206185572

Descriptive statistics

Standard deviation0.6117925316
Coefficient of variation (CV)-6.961826976
Kurtosis-1.622007903
Mean-0.08787815809
Median Absolute Deviation (MAD)0.620112195
Skewness-0.0157563519
Sum-646.0802183
Variance0.3742901017
MonotonicityNot monotonic
2025-03-02T10:04:14.484799image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 195
 
2.7%
-0.95605675 166
 
2.3%
-0.92407535 144
 
2.0%
-0.89669536 135
 
1.8%
-0.87235403 123
 
1.7%
-0.85031043 105
 
1.4%
-0.8115235 69
 
0.9%
-0.83012918 64
 
0.9%
-0.78703269 58
 
0.8%
-0.79429039 54
 
0.7%
Other values (4448) 6239
84.9%
ValueCountFrequency (%)
-1 195
2.7%
-0.95605675 166
2.3%
-0.92407535 144
2.0%
-0.91224892 12
 
0.2%
-0.89669536 135
1.8%
ValueCountFrequency (%)
1 1
< 0.1%
0.96898453 1
< 0.1%
0.96236519 1
< 0.1%
0.96162191 1
< 0.1%
0.9571581 1
< 0.1%

fBodyBodyGyroMag-maxInds
Real number (ℝ)

Distinct27
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8894422593
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7340
Negative (%)99.8%
Memory size57.6 KiB
2025-03-02T10:04:14.605295image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-1
median-0.94871795
Q3-0.84615385
95-th percentile-0.53846154
Maximum1
Range2
Interquartile range (IQR)0.15384615

Descriptive statistics

Standard deviation0.1576526769
Coefficient of variation (CV)-0.1772489167
Kurtosis11.58444369
Mean-0.8894422593
Median Absolute Deviation (MAD)0.05128205
Skewness2.609973669
Sum-6539.179491
Variance0.02485436653
MonotonicityNot monotonic
2025-03-02T10:04:14.642605image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1 3022
41.1%
-0.94871795 1188
 
16.2%
-0.84615385 1066
 
14.5%
-0.8974359 599
 
8.1%
-0.79487179 552
 
7.5%
-0.58974359 166
 
2.3%
-0.69230769 143
 
1.9%
-0.64102564 133
 
1.8%
-0.53846154 121
 
1.6%
-0.74358974 114
 
1.6%
Other values (17) 248
 
3.4%
ValueCountFrequency (%)
-1 3022
41.1%
-0.94871795 1188
 
16.2%
-0.8974359 599
 
8.1%
-0.84615385 1066
 
14.5%
-0.79487179 552
 
7.5%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.94871795 1
 
< 0.1%
0.33333333 1
 
< 0.1%
0.23076923 3
< 0.1%
0.12820513 4
0.1%

fBodyBodyGyroMag-meanFreq()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.04651613858
Minimum-0.99750026
Maximum1
Zeros0
Zeros (%)0.0%
Negative4276
Negative (%)58.2%
Memory size57.6 KiB
2025-03-02T10:04:14.683779image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99750026
5-th percentile-0.494687716
Q1-0.2408823925
median-0.0615966195
Q30.148794565
95-th percentile0.432688589
Maximum1
Range1.99750026
Interquartile range (IQR)0.3896769575

Descriptive statistics

Standard deviation0.2826645312
Coefficient of variation (CV)-6.076698106
Kurtosis-0.07718975049
Mean-0.04651613858
Median Absolute Deviation (MAD)0.192171495
Skewness0.1119440985
Sum-341.9866509
Variance0.07989923722
MonotonicityNot monotonic
2025-03-02T10:04:14.727255image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.1289889 1
 
< 0.1%
-0.77956546 1
 
< 0.1%
-0.46505873 1
 
< 0.1%
-0.21346059 1
 
< 0.1%
-0.402765 1
 
< 0.1%
-0.7060593 1
 
< 0.1%
-0.77294902 1
 
< 0.1%
-0.34890621 1
 
< 0.1%
-0.14010005 1
 
< 0.1%
-0.15248047 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.99750026 1
< 0.1%
-0.99624245 1
< 0.1%
-0.96880352 1
< 0.1%
-0.96737822 1
< 0.1%
-0.96273911 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.96817113 1
< 0.1%
0.94984983 1
< 0.1%
0.9370304 1
< 0.1%
0.92733098 1
< 0.1%

fBodyBodyGyroMag-skewness()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2536486155
Minimum-1
Maximum0.96931086
Zeros0
Zeros (%)0.0%
Negative5896
Negative (%)80.2%
Memory size57.6 KiB
2025-03-02T10:04:14.770483image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6927683525
Q1-0.4920277075
median-0.309251765
Q3-0.06995178625
95-th percentile0.402899324
Maximum0.96931086
Range1.96931086
Interquartile range (IQR)0.4220759213

Descriptive statistics

Standard deviation0.3266239733
Coefficient of variation (CV)-1.287702567
Kurtosis0.3128183731
Mean-0.2536486155
Median Absolute Deviation (MAD)0.206003015
Skewness0.7737035647
Sum-1864.824621
Variance0.10668322
MonotonicityNot monotonic
2025-03-02T10:04:14.813766image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.58615643 1
 
< 0.1%
0.047005466 1
 
< 0.1%
-0.14517003 1
 
< 0.1%
-0.60050551 1
 
< 0.1%
-0.54088986 1
 
< 0.1%
-0.14742348 1
 
< 0.1%
0.13705987 1
 
< 0.1%
-0.18714605 1
 
< 0.1%
-0.39788314 1
 
< 0.1%
-0.64475767 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9977189 1
< 0.1%
-0.9507136 1
< 0.1%
-0.94392958 1
< 0.1%
-0.93630211 1
< 0.1%
ValueCountFrequency (%)
0.96931086 1
< 0.1%
0.9662016 1
< 0.1%
0.93958278 1
< 0.1%
0.93026194 1
< 0.1%
0.92888951 1
< 0.1%

fBodyBodyGyroMag-kurtosis()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5654251519
Minimum-1
Maximum0.94935049
Zeros0
Zeros (%)0.0%
Negative6778
Negative (%)92.2%
Memory size57.6 KiB
2025-03-02T10:04:14.857188image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.916758451
Q1-0.802206755
median-0.655593695
Q3-0.4283759325
95-th percentile0.142518032
Maximum0.94935049
Range1.94935049
Interquartile range (IQR)0.3738308225

Descriptive statistics

Standard deviation0.3266203229
Coefficient of variation (CV)-0.577654393
Kurtosis1.849429846
Mean-0.5654251519
Median Absolute Deviation (MAD)0.172276375
Skewness1.398870342
Sum-4157.005716
Variance0.1066808353
MonotonicityNot monotonic
2025-03-02T10:04:14.901133image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.37460462 1
 
< 0.1%
-0.41199516 1
 
< 0.1%
-0.52778154 1
 
< 0.1%
-0.87500686 1
 
< 0.1%
-0.8459197 1
 
< 0.1%
-0.56166347 1
 
< 0.1%
-0.2119891 1
 
< 0.1%
-0.55778855 1
 
< 0.1%
-0.74806224 1
 
< 0.1%
-0.90585574 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99589364 1
< 0.1%
-0.9927378 1
< 0.1%
-0.99223987 1
< 0.1%
-0.99222784 1
< 0.1%
ValueCountFrequency (%)
0.94935049 1
< 0.1%
0.92881597 1
< 0.1%
0.8883047 1
< 0.1%
0.88791471 1
< 0.1%
0.88773529 1
< 0.1%
Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7793760764
Minimum-0.99999636
Maximum1
Zeros0
Zeros (%)0.0%
Negative7199
Negative (%)97.9%
Memory size57.6 KiB
2025-03-02T10:04:14.944753image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999636
5-th percentile-0.9981991445
Q1-0.9931002675
median-0.95239798
Q3-0.611951915
95-th percentile-0.255881854
Maximum1
Range1.99999636
Interquartile range (IQR)0.3811483525

Descriptive statistics

Standard deviation0.2757330008
Coefficient of variation (CV)-0.353786842
Kurtosis2.621265269
Mean-0.7793760764
Median Absolute Deviation (MAD)0.046154185
Skewness1.502052269
Sum-5729.972914
Variance0.07602868774
MonotonicityNot monotonic
2025-03-02T10:04:14.988998image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99643113 2
 
< 0.1%
-0.99266535 2
 
< 0.1%
-0.99599149 2
 
< 0.1%
-0.98864255 2
 
< 0.1%
-0.99538815 2
 
< 0.1%
-0.98648836 1
 
< 0.1%
-0.9912583 1
 
< 0.1%
-0.9835156 1
 
< 0.1%
-0.96957662 1
 
< 0.1%
-0.92438794 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-0.99999636 1
< 0.1%
-0.99998384 1
< 0.1%
-0.99991313 1
< 0.1%
-0.99989233 1
< 0.1%
-0.99986223 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86685611 1
< 0.1%
0.65840396 1
< 0.1%
0.65559366 1
< 0.1%
0.64085869 1
< 0.1%
Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7923914609
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7215
Negative (%)98.1%
Memory size57.6 KiB
2025-03-02T10:04:15.031963image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9983512815
Q1-0.9935080675
median-0.947139595
Q3-0.6426272375
95-th percentile-0.3025541545
Maximum1
Range2
Interquartile range (IQR)0.35088083

Descriptive statistics

Standard deviation0.2654339028
Coefficient of variation (CV)-0.3349782473
Kurtosis4.024275131
Mean-0.7923914609
Median Absolute Deviation (MAD)0.051451445
Skewness1.73978462
Sum-5825.662021
Variance0.07045515673
MonotonicityNot monotonic
2025-03-02T10:04:15.076351image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9981948 2
 
< 0.1%
-0.99855022 2
 
< 0.1%
-0.99835163 2
 
< 0.1%
-0.99069746 1
 
< 0.1%
-0.9748162 1
 
< 0.1%
-0.94491839 1
 
< 0.1%
-0.91668189 1
 
< 0.1%
-0.92594168 1
 
< 0.1%
-0.95838328 1
 
< 0.1%
-0.96439014 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99973755 1
< 0.1%
-0.999666 1
< 0.1%
-0.99966263 1
< 0.1%
-0.99966022 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.85690334 1
< 0.1%
0.82075673 1
< 0.1%
0.7713365 1
< 0.1%
0.75408777 1
< 0.1%
Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7728359102
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7167
Negative (%)97.5%
Memory size57.6 KiB
2025-03-02T10:04:15.119269image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.998098619
Q1-0.99273632
median-0.94522289
Q3-0.6080471525
95-th percentile-0.233216375
Maximum1
Range2
Interquartile range (IQR)0.3846891675

Descriptive statistics

Standard deviation0.2876134718
Coefficient of variation (CV)-0.3721533484
Kurtosis3.594014396
Mean-0.7728359102
Median Absolute Deviation (MAD)0.053153315
Skewness1.673280205
Sum-5681.889612
Variance0.08272150915
MonotonicityNot monotonic
2025-03-02T10:04:15.163284image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99734446 2
 
< 0.1%
-0.99110962 2
 
< 0.1%
-0.99556085 2
 
< 0.1%
-0.98994084 1
 
< 0.1%
-0.98312365 1
 
< 0.1%
-0.91378351 1
 
< 0.1%
-0.91404142 1
 
< 0.1%
-0.95406204 1
 
< 0.1%
-0.96468475 1
 
< 0.1%
-0.984545 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99986419 1
< 0.1%
-0.9997707 1
< 0.1%
-0.99966313 1
< 0.1%
-0.99957474 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94283893 1
< 0.1%
0.82437813 1
< 0.1%
0.80910702 1
< 0.1%
0.79479967 1
< 0.1%
Distinct7349
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.8114094457
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7250
Negative (%)98.6%
Memory size57.6 KiB
2025-03-02T10:04:15.206464image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9987256295
Q1-0.9943546825
median-0.950795715
Q3-0.68877633
95-th percentile-0.3333506415
Maximum1
Range2
Interquartile range (IQR)0.3055783525

Descriptive statistics

Standard deviation0.2466798576
Coefficient of variation (CV)-0.3040140325
Kurtosis4.12694719
Mean-0.8114094457
Median Absolute Deviation (MAD)0.048114145
Skewness1.781852867
Sum-5965.482245
Variance0.06085095215
MonotonicityNot monotonic
2025-03-02T10:04:15.252329image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99841549 2
 
< 0.1%
-0.99570478 2
 
< 0.1%
-0.98951043 2
 
< 0.1%
-0.99244784 1
 
< 0.1%
-0.9854325 1
 
< 0.1%
-0.9777792 1
 
< 0.1%
-0.96721858 1
 
< 0.1%
-0.95050823 1
 
< 0.1%
-0.92248215 1
 
< 0.1%
-0.93442515 1
 
< 0.1%
Other values (7339) 7339
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99992166 1
< 0.1%
-0.99991117 1
< 0.1%
-0.99987986 1
< 0.1%
-0.9998405 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.83860839 1
< 0.1%
0.72437436 1
< 0.1%
0.69183207 1
< 0.1%
0.63382768 1
< 0.1%
Distinct7348
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.871926655
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7307
Negative (%)99.4%
Memory size57.6 KiB
2025-03-02T10:04:15.297607image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.998228255
Q1-0.9940652525
median-0.9756765
Q3-0.8082632525
95-th percentile-0.4769903145
Maximum1
Range2
Interquartile range (IQR)0.185802

Descriptive statistics

Standard deviation0.1933435358
Coefficient of variation (CV)-0.2217428894
Kurtosis8.382889358
Mean-0.871926655
Median Absolute Deviation (MAD)0.022467155
Skewness2.433528463
Sum-6410.404767
Variance0.03738172285
MonotonicityNot monotonic
2025-03-02T10:04:15.340733image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99934607 2
 
< 0.1%
-0.99522321 2
 
< 0.1%
-0.99822009 2
 
< 0.1%
-0.99593417 2
 
< 0.1%
-0.99104773 1
 
< 0.1%
-0.99056619 1
 
< 0.1%
-0.98942826 1
 
< 0.1%
-0.98935912 1
 
< 0.1%
-0.99837433 1
 
< 0.1%
-0.98278481 1
 
< 0.1%
Other values (7338) 7338
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99997944 1
< 0.1%
-0.99994856 1
< 0.1%
-0.9999371 1
< 0.1%
-0.99993456 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.94136388 1
< 0.1%
0.60432833 1
< 0.1%
0.45839729 1
< 0.1%
0.34357746 1
< 0.1%
Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7793760764
Minimum-0.99999636
Maximum1
Zeros0
Zeros (%)0.0%
Negative7199
Negative (%)97.9%
Memory size57.6 KiB
2025-03-02T10:04:15.384057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99999636
5-th percentile-0.9981991445
Q1-0.9931002675
median-0.95239798
Q3-0.611951915
95-th percentile-0.255881854
Maximum1
Range1.99999636
Interquartile range (IQR)0.3811483525

Descriptive statistics

Standard deviation0.2757330008
Coefficient of variation (CV)-0.353786842
Kurtosis2.621265269
Mean-0.7793760764
Median Absolute Deviation (MAD)0.046154185
Skewness1.502052269
Sum-5729.972914
Variance0.07602868774
MonotonicityNot monotonic
2025-03-02T10:04:15.428565image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99643113 2
 
< 0.1%
-0.99266535 2
 
< 0.1%
-0.99599149 2
 
< 0.1%
-0.98864255 2
 
< 0.1%
-0.99538815 2
 
< 0.1%
-0.98648836 1
 
< 0.1%
-0.9912583 1
 
< 0.1%
-0.9835156 1
 
< 0.1%
-0.96957662 1
 
< 0.1%
-0.92438794 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-0.99999636 1
< 0.1%
-0.99998384 1
< 0.1%
-0.99991313 1
< 0.1%
-0.99989233 1
< 0.1%
-0.99986223 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.86685611 1
< 0.1%
0.65840396 1
< 0.1%
0.65559366 1
< 0.1%
0.64085869 1
< 0.1%
Distinct6907
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.9357845569
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7330
Negative (%)99.7%
Memory size57.6 KiB
2025-03-02T10:04:15.471390image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9999935645
Q1-0.9999569925
median-0.998470995
Q3-0.9225029275
95-th percentile-0.718364349
Maximum1
Range2
Interquartile range (IQR)0.077454065

Descriptive statistics

Standard deviation0.1386833718
Coefficient of variation (CV)-0.1482001074
Kurtosis33.15463941
Mean-0.9357845569
Median Absolute Deviation (MAD)0.001525185
Skewness4.783142863
Sum-6879.888062
Variance0.01923307761
MonotonicityNot monotonic
2025-03-02T10:04:15.514421image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99999298 4
 
0.1%
-0.99999279 4
 
0.1%
-0.9999903 4
 
0.1%
-0.99999772 4
 
0.1%
-0.99998966 4
 
0.1%
-0.99999438 4
 
0.1%
-0.99998626 4
 
0.1%
-0.99999034 4
 
0.1%
-0.9999904 4
 
0.1%
-0.9999944 3
 
< 0.1%
Other values (6897) 7313
99.5%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99999996 1
< 0.1%
-0.99999952 1
< 0.1%
-0.9999995 1
< 0.1%
-0.99999944 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.77418122 1
< 0.1%
0.72499743 1
< 0.1%
0.59728129 1
< 0.1%
0.45745406 1
< 0.1%
Distinct7347
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7714971711
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative7177
Negative (%)97.6%
Memory size57.6 KiB
2025-03-02T10:04:15.557688image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.9976269575
Q1-0.99226832
median-0.949767575
Q3-0.60395205
95-th percentile-0.227400101
Maximum1
Range2
Interquartile range (IQR)0.38831627

Descriptive statistics

Standard deviation0.2875774273
Coefficient of variation (CV)-0.3727524067
Kurtosis3.152659353
Mean-0.7714971711
Median Absolute Deviation (MAD)0.04814492
Skewness1.588242063
Sum-5672.047202
Variance0.08270077667
MonotonicityNot monotonic
2025-03-02T10:04:15.601978image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.99547088 2
 
< 0.1%
-0.9972923 2
 
< 0.1%
-0.99709387 2
 
< 0.1%
-0.99678249 2
 
< 0.1%
-0.99480721 2
 
< 0.1%
-0.94881826 1
 
< 0.1%
-0.97318185 1
 
< 0.1%
-0.94217999 1
 
< 0.1%
-0.90694643 1
 
< 0.1%
-0.91832343 1
 
< 0.1%
Other values (7337) 7337
99.8%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99961219 1
< 0.1%
-0.99960676 1
< 0.1%
-0.99960668 1
< 0.1%
-0.99956515 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.95167225 1
< 0.1%
0.89003345 1
< 0.1%
0.83994025 1
< 0.1%
0.83107417 1
< 0.1%
Distinct3706
Distinct (%)50.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.2846265842
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative4103
Negative (%)55.8%
Memory size57.6 KiB
2025-03-02T10:04:15.644636image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-0.95569589
median-0.455569065
Q30.33678533
95-th percentile0.6238710205
Maximum1
Range2
Interquartile range (IQR)1.29248122

Descriptive statistics

Standard deviation0.630896044
Coefficient of variation (CV)-2.216574554
Kurtosis-1.655616648
Mean-0.2846265842
Median Absolute Deviation (MAD)0.544430935
Skewness0.1547542738
Sum-2092.574647
Variance0.3980298183
MonotonicityNot monotonic
2025-03-02T10:04:15.688734image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1 1535
 
20.9%
-0.95569589 420
 
5.7%
-0.92345186 223
 
3.0%
-0.89584702 140
 
1.9%
-0.8713058 103
 
1.4%
-0.84908118 91
 
1.2%
-0.8287342 76
 
1.0%
-0.80997573 65
 
0.9%
-0.7926011 43
 
0.6%
-0.77645801 37
 
0.5%
Other values (3696) 4619
62.8%
ValueCountFrequency (%)
-1 1535
20.9%
-0.95569589 420
 
5.7%
-0.92345186 223
 
3.0%
-0.91152831 2
 
< 0.1%
-0.89584702 140
 
1.9%
ValueCountFrequency (%)
1 1
< 0.1%
0.95171044 1
< 0.1%
0.93745966 1
< 0.1%
0.93453705 1
< 0.1%
0.92494074 1
< 0.1%
Distinct52
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.89885918
Minimum-1
Maximum0.96825397
Zeros0
Zeros (%)0.0%
Negative7312
Negative (%)99.5%
Memory size57.6 KiB
2025-03-02T10:04:15.732897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-1
Q1-0.96825397
median-0.9047619
Q3-0.87301587
95-th percentile-0.71428571
Maximum0.96825397
Range1.96825397
Interquartile range (IQR)0.0952381

Descriptive statistics

Standard deviation0.1431347396
Coefficient of variation (CV)-0.1592404492
Kurtosis40.01421654
Mean-0.89885918
Median Absolute Deviation (MAD)0.03174604
Skewness5.186762236
Sum-6608.412691
Variance0.02048755369
MonotonicityNot monotonic
2025-03-02T10:04:15.858061image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.9047619 1818
24.7%
-1 1695
23.1%
-0.87301587 1105
15.0%
-0.93650794 953
13.0%
-0.96825397 763
10.4%
-0.84126984 187
 
2.5%
-0.80952381 174
 
2.4%
-0.74603175 124
 
1.7%
-0.77777778 114
 
1.6%
-0.71428571 65
 
0.9%
Other values (42) 354
 
4.8%
ValueCountFrequency (%)
-1 1695
23.1%
-0.96825397 763
10.4%
-0.93650794 953
13.0%
-0.9047619 1818
24.7%
-0.87301587 1105
15.0%
ValueCountFrequency (%)
0.96825397 1
< 0.1%
0.93650794 1
< 0.1%
0.77777778 1
< 0.1%
0.71428571 2
< 0.1%
0.68253968 1
< 0.1%

fBodyBodyGyroJerkMag-meanFreq()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1252934395
Minimum-1
Maximum0.94669994
Zeros0
Zeros (%)0.0%
Negative2088
Negative (%)28.4%
Memory size57.6 KiB
2025-03-02T10:04:15.901285image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.3194706865
Q1-0.02369242575
median0.13399978
Q30.2890957675
95-th percentile0.524472327
Maximum0.94669994
Range1.94669994
Interquartile range (IQR)0.3127881933

Descriptive statistics

Standard deviation0.250993726
Coefficient of variation (CV)2.003247153
Kurtosis0.4692291701
Mean0.1252934395
Median Absolute Deviation (MAD)0.156175159
Skewness-0.3235499098
Sum921.1573674
Variance0.06299785048
MonotonicityNot monotonic
2025-03-02T10:04:15.945525image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.074323027 1
 
< 0.1%
-0.025137391 1
 
< 0.1%
-0.18138577 1
 
< 0.1%
0.090124983 1
 
< 0.1%
-0.10497559 1
 
< 0.1%
-0.3319028 1
 
< 0.1%
-0.12640608 1
 
< 0.1%
0.21507677 1
 
< 0.1%
0.35481022 1
 
< 0.1%
0.21097411 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9657249 1
< 0.1%
-0.91586641 1
< 0.1%
-0.86956958 1
< 0.1%
-0.85241433 1
< 0.1%
ValueCountFrequency (%)
0.94669994 1
< 0.1%
0.91857638 1
< 0.1%
0.87989206 1
< 0.1%
0.87099226 1
< 0.1%
0.86051233 1
< 0.1%
Distinct7351
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3070091989
Minimum-0.99535747
Maximum0.98953847
Zeros0
Zeros (%)0.0%
Negative6175
Negative (%)84.0%
Memory size57.6 KiB
2025-03-02T10:04:15.989104image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99535747
5-th percentile-0.75475142
Q1-0.54260193
median-0.34368533
Q3-0.1269788675
95-th percentile0.305668585
Maximum0.98953847
Range1.98489594
Interquartile range (IQR)0.4156230625

Descriptive statistics

Standard deviation0.3210109918
Coefficient of variation (CV)-1.045607079
Kurtosis0.5146837577
Mean-0.3070091989
Median Absolute Deviation (MAD)0.207202015
Skewness0.7423419363
Sum-2257.131631
Variance0.1030480568
MonotonicityNot monotonic
2025-03-02T10:04:16.032515image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.64499035 2
 
< 0.1%
-0.29867637 1
 
< 0.1%
-0.38833828 1
 
< 0.1%
-0.58842574 1
 
< 0.1%
-0.36709746 1
 
< 0.1%
-0.088346148 1
 
< 0.1%
-0.32552151 1
 
< 0.1%
-0.23666896 1
 
< 0.1%
0.0050001157 1
 
< 0.1%
-0.68907429 1
 
< 0.1%
Other values (7341) 7341
99.9%
ValueCountFrequency (%)
-0.99535747 1
< 0.1%
-0.97926089 1
< 0.1%
-0.96055904 1
< 0.1%
-0.95608218 1
< 0.1%
-0.95523732 1
< 0.1%
ValueCountFrequency (%)
0.98953847 1
< 0.1%
0.96012127 1
< 0.1%
0.94130486 1
< 0.1%
0.94111345 1
< 0.1%
0.92043777 1
< 0.1%

fBodyBodyGyroJerkMag-kurtosis()
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6252938571
Minimum-0.99976469
Maximum0.95684539
Zeros0
Zeros (%)0.0%
Negative6955
Negative (%)94.6%
Memory size57.6 KiB
2025-03-02T10:04:16.075430image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.99976469
5-th percentile-0.9452157405
Q1-0.8455732675
median-0.711692365
Q3-0.503877595
95-th percentile0.02334239995
Maximum0.95684539
Range1.95661008
Interquartile range (IQR)0.3416956725

Descriptive statistics

Standard deviation0.3075841312
Coefficient of variation (CV)-0.4919033311
Kurtosis2.987556919
Mean-0.6252938571
Median Absolute Deviation (MAD)0.15567861
Skewness1.609414407
Sum-4597.160437
Variance0.09460799778
MonotonicityNot monotonic
2025-03-02T10:04:16.120264image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.71030407 1
 
< 0.1%
-0.77880168 1
 
< 0.1%
-0.69411954 1
 
< 0.1%
-0.50726422 1
 
< 0.1%
-0.69699474 1
 
< 0.1%
-0.61389995 1
 
< 0.1%
-0.36663374 1
 
< 0.1%
-0.94615967 1
 
< 0.1%
-0.64753361 1
 
< 0.1%
-0.79466031 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.99976469 1
< 0.1%
-0.9995947 1
< 0.1%
-0.998619 1
< 0.1%
-0.99531195 1
< 0.1%
-0.99466425 1
< 0.1%
ValueCountFrequency (%)
0.95684539 1
< 0.1%
0.94249457 1
< 0.1%
0.92709724 1
< 0.1%
0.89421049 1
< 0.1%
0.87677016 1
< 0.1%

angle(tBodyAccMean,gravity)
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008683660493
Minimum-0.97658002
Maximum1
Zeros0
Zeros (%)0.0%
Negative3453
Negative (%)47.0%
Memory size57.6 KiB
2025-03-02T10:04:16.164237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-0.97658002
5-th percentile-0.6312121865
Q1-0.12152738
median0.00950907335
Q30.150865345
95-th percentile0.6356371215
Maximum1
Range1.97658002
Interquartile range (IQR)0.272392725

Descriptive statistics

Standard deviation0.3367865748
Coefficient of variation (CV)38.78394084
Kurtosis0.7565057853
Mean0.008683660493
Median Absolute Deviation (MAD)0.135315115
Skewness-0.08181296714
Sum63.84227195
Variance0.113425197
MonotonicityNot monotonic
2025-03-02T10:04:16.207767image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.11275434 1
 
< 0.1%
-0.033735121 1
 
< 0.1%
0.021063613 1
 
< 0.1%
0.018192707 1
 
< 0.1%
0.012184692 1
 
< 0.1%
0.039560518 1
 
< 0.1%
0.012481252 1
 
< 0.1%
-0.0074109133 1
 
< 0.1%
0.034468059 1
 
< 0.1%
0.0055836973 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-0.97658002 1
< 0.1%
-0.97574463 1
< 0.1%
-0.96756479 1
< 0.1%
-0.96282879 1
< 0.1%
-0.96094302 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.98088875 1
< 0.1%
0.96039072 1
< 0.1%
0.9597002 1
< 0.1%
0.95741109 1
< 0.1%

angle(tBodyAccJerkMean),gravityMean)
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.002186096604
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3603
Negative (%)49.0%
Memory size57.6 KiB
2025-03-02T10:04:16.250640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.781410105
Q1-0.289548955
median0.0089430375
Q30.2928611775
95-th percentile0.772662075
Maximum1
Range2
Interquartile range (IQR)0.5824101325

Descriptive statistics

Standard deviation0.4483062912
Coefficient of variation (CV)205.071583
Kurtosis-0.5471770654
Mean0.002186096604
Median Absolute Deviation (MAD)0.2913585925
Skewness-0.01998708977
Sum16.07218223
Variance0.2009785307
MonotonicityNot monotonic
2025-03-02T10:04:16.295577image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.030400372 1
 
< 0.1%
0.50667449 1
 
< 0.1%
-0.53639231 1
 
< 0.1%
-0.0056270701 1
 
< 0.1%
0.13146665 1
 
< 0.1%
-0.068911926 1
 
< 0.1%
0.21716461 1
 
< 0.1%
0.29475614 1
 
< 0.1%
-0.05782655 1
 
< 0.1%
-0.17865256 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99665908 1
< 0.1%
-0.99049226 1
< 0.1%
-0.98650303 1
< 0.1%
-0.98442851 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99842548 1
< 0.1%
0.99768753 1
< 0.1%
0.99652504 1
< 0.1%
0.99189925 1
< 0.1%

angle(tBodyGyroMean,gravityMean)
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.008725860507
Minimum-1
Maximum0.99870219
Zeros0
Zeros (%)0.0%
Negative3639
Negative (%)49.5%
Memory size57.6 KiB
2025-03-02T10:04:16.338867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.938568176
Q1-0.4822729975
median0.0087348478
Q30.5061874375
95-th percentile0.9433224915
Maximum0.99870219
Range1.99870219
Interquartile range (IQR)0.988460435

Descriptive statistics

Standard deviation0.608302942
Coefficient of variation (CV)69.71265945
Kurtosis-1.156373512
Mean0.008725860507
Median Absolute Deviation (MAD)0.493179785
Skewness-0.01795546501
Sum64.15252645
Variance0.3700324692
MonotonicityNot monotonic
2025-03-02T10:04:16.385972image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.46476139 1
 
< 0.1%
0.95660904 1
 
< 0.1%
-0.93584256 1
 
< 0.1%
-0.70212623 1
 
< 0.1%
0.82426967 1
 
< 0.1%
0.84244481 1
 
< 0.1%
-0.88438253 1
 
< 0.1%
-0.74631369 1
 
< 0.1%
0.072522534 1
 
< 0.1%
0.21260759 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99979012 1
< 0.1%
-0.99921768 1
< 0.1%
-0.99709106 1
< 0.1%
-0.99612143 1
< 0.1%
ValueCountFrequency (%)
0.99870219 1
< 0.1%
0.99834087 1
< 0.1%
0.99576916 1
< 0.1%
0.99451872 1
< 0.1%
0.99447643 1
< 0.1%

angle(tBodyGyroJerkMean,gravityMean)
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.005980940142
Minimum-1
Maximum0.99607819
Zeros0
Zeros (%)0.0%
Negative3678
Negative (%)50.0%
Memory size57.6 KiB
2025-03-02T10:04:16.429727image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.7890516785
Q1-0.3763414675
median-0.00036792714
Q30.3593677425
95-th percentile0.7847871625
Maximum0.99607819
Range1.99607819
Interquartile range (IQR)0.73570921

Descriptive statistics

Standard deviation0.4779750879
Coefficient of variation (CV)-79.91638045
Kurtosis-0.8773120584
Mean-0.005980940142
Median Absolute Deviation (MAD)0.3685330979
Skewness0.001497751142
Sum-43.97187193
Variance0.2284601847
MonotonicityNot monotonic
2025-03-02T10:04:16.474178image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.018445884 1
 
< 0.1%
0.84576113 1
 
< 0.1%
-0.37127136 1
 
< 0.1%
0.90932368 1
 
< 0.1%
-0.44762924 1
 
< 0.1%
-0.88577712 1
 
< 0.1%
0.88969822 1
 
< 0.1%
0.63956168 1
 
< 0.1%
-0.70482281 1
 
< 0.1%
0.14130492 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.9951003 1
< 0.1%
-0.9948768 1
< 0.1%
-0.99342056 1
< 0.1%
-0.9865725 1
< 0.1%
ValueCountFrequency (%)
0.99607819 1
< 0.1%
0.99128828 1
< 0.1%
0.98203517 1
< 0.1%
0.97952161 1
< 0.1%
0.97221245 1
< 0.1%

angle(X,gravityMean)
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4895472016
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative5931
Negative (%)80.7%
Memory size57.6 KiB
2025-03-02T10:04:16.518053image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.906998174
Q1-0.812065075
median-0.70941736
Q3-0.50907934
95-th percentile0.605998326
Maximum1
Range2
Interquartile range (IQR)0.302985735

Descriptive statistics

Standard deviation0.5118068205
Coefficient of variation (CV)-1.045469811
Kurtosis0.354497659
Mean-0.4895472016
Median Absolute Deviation (MAD)0.128558935
Skewness1.399961372
Sum-3599.151026
Variance0.2619462215
MonotonicityNot monotonic
2025-03-02T10:04:16.561682image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.84124676 1
 
< 0.1%
-0.57325153 1
 
< 0.1%
-0.58601509 1
 
< 0.1%
-0.60107876 1
 
< 0.1%
-0.60577332 1
 
< 0.1%
-0.59737029 1
 
< 0.1%
-0.58219754 1
 
< 0.1%
-0.56705724 1
 
< 0.1%
-0.55958017 1
 
< 0.1%
-0.56345483 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99937957 1
< 0.1%
-0.99890919 1
< 0.1%
-0.99877622 1
< 0.1%
-0.99739439 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.97734408 1
< 0.1%
0.93536477 1
< 0.1%
0.93393602 1
< 0.1%
0.93299741 1
< 0.1%

angle(Y,gravityMean)
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05859303296
Minimum-1
Maximum0.47815733
Zeros0
Zeros (%)0.0%
Negative1872
Negative (%)25.5%
Memory size57.6 KiB
2025-03-02T10:04:16.603601image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6141031735
Q1-0.01788453875
median0.182071145
Q30.248352515
95-th percentile0.3323917915
Maximum0.47815733
Range1.47815733
Interquartile range (IQR)0.2662370538

Descriptive statistics

Standard deviation0.2974800348
Coefficient of variation (CV)5.077054725
Kurtosis1.363650466
Mean0.05859303296
Median Absolute Deviation (MAD)0.087052555
Skewness-1.501489209
Sum430.7759783
Variance0.08849437111
MonotonicityNot monotonic
2025-03-02T10:04:16.645497image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.17994061 1
 
< 0.1%
0.20392755 1
 
< 0.1%
0.20024339 1
 
< 0.1%
0.19693084 1
 
< 0.1%
0.19719503 1
 
< 0.1%
0.20047997 1
 
< 0.1%
0.20347232 1
 
< 0.1%
0.2060352 1
 
< 0.1%
0.20787928 1
 
< 0.1%
0.2071561 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.99590828 1
< 0.1%
-0.99507289 1
< 0.1%
-0.99275712 1
< 0.1%
-0.99179466 1
< 0.1%
ValueCountFrequency (%)
0.47815733 1
< 0.1%
0.44558156 1
< 0.1%
0.43753647 1
< 0.1%
0.43511285 1
< 0.1%
0.43417596 1
< 0.1%

angle(Z,gravityMean)
Real number (ℝ)

Unique 

Distinct7352
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.05651470266
Minimum-1
Maximum1
Zeros0
Zeros (%)0.0%
Negative3632
Negative (%)49.4%
Memory size57.6 KiB
2025-03-02T10:04:16.687717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.6800839605
Q1-0.1434142075
median0.0031811947
Q30.1076588625
95-th percentile0.2915557775
Maximum1
Range2
Interquartile range (IQR)0.25107307

Descriptive statistics

Standard deviation0.279122225
Coefficient of variation (CV)-4.938931143
Kurtosis1.357807785
Mean-0.05651470266
Median Absolute Deviation (MAD)0.12221637
Skewness-0.8698982351
Sum-415.496094
Variance0.0779092165
MonotonicityNot monotonic
2025-03-02T10:04:16.731333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.058626924 1
 
< 0.1%
0.30271416 1
 
< 0.1%
0.29461483 1
 
< 0.1%
0.28457928 1
 
< 0.1%
0.28087319 1
 
< 0.1%
0.28582927 1
 
< 0.1%
0.29608739 1
 
< 0.1%
0.30649459 1
 
< 0.1%
0.31136619 1
 
< 0.1%
0.30873757 1
 
< 0.1%
Other values (7342) 7342
99.9%
ValueCountFrequency (%)
-1 1
< 0.1%
-0.98014271 1
< 0.1%
-0.97914858 1
< 0.1%
-0.97723061 1
< 0.1%
-0.97719373 1
< 0.1%
ValueCountFrequency (%)
1 1
< 0.1%
0.99977594 1
< 0.1%
0.99901418 1
< 0.1%
0.99837347 1
< 0.1%
0.99710381 1
< 0.1%

subject
Real number (ℝ)

Distinct21
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.41308487
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size57.6 KiB
2025-03-02T10:04:16.768324image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median19
Q326
95-th percentile30
Maximum30
Range29
Interquartile range (IQR)18

Descriptive statistics

Standard deviation8.975142604
Coefficient of variation (CV)0.5154251914
Kurtosis-1.17894828
Mean17.41308487
Median Absolute Deviation (MAD)8
Skewness-0.314997783
Sum128021
Variance80.55318477
MonotonicityIncreasing
2025-03-02T10:04:16.801618image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
25 409
 
5.6%
21 408
 
5.5%
26 392
 
5.3%
30 383
 
5.2%
28 382
 
5.2%
27 376
 
5.1%
23 372
 
5.1%
17 368
 
5.0%
16 366
 
5.0%
19 360
 
4.9%
Other values (11) 3536
48.1%
ValueCountFrequency (%)
1 347
4.7%
3 341
4.6%
5 302
4.1%
6 325
4.4%
7 308
4.2%
ValueCountFrequency (%)
30 383
5.2%
29 344
4.7%
28 382
5.2%
27 376
5.1%
26 392
5.3%
Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size57.6 KiB
2025-03-02T10:04:16.860590image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.784276387
Min length6

Characters and Unicode

Total characters71934
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSTANDING
2nd rowSTANDING
3rd rowSTANDING
4th rowSTANDING
5th rowSTANDING
ValueCountFrequency (%)
laying 1407
19.1%
standing 1374
18.7%
sitting 1286
17.5%
walking 1226
16.7%
walking_upstairs 1073
14.6%
walking_downstairs 986
13.4%
2025-03-02T10:04:16.964745image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 10697
14.9%
N 9712
13.5%
A 8125
11.3%
G 7352
10.2%
S 6778
9.4%
T 6005
8.3%
L 4692
6.5%
W 4271
 
5.9%
K 3285
 
4.6%
D 2360
 
3.3%
Other values (6) 8657
12.0%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 69875
97.1%
Connector Punctuation 2059
 
2.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
I 10697
15.3%
N 9712
13.9%
A 8125
11.6%
G 7352
10.5%
S 6778
9.7%
T 6005
8.6%
L 4692
6.7%
W 4271
 
6.1%
K 3285
 
4.7%
D 2360
 
3.4%
Other values (5) 6598
9.4%
Connector Punctuation
ValueCountFrequency (%)
_ 2059
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 69875
97.1%
Common 2059
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
I 10697
15.3%
N 9712
13.9%
A 8125
11.6%
G 7352
10.5%
S 6778
9.7%
T 6005
8.6%
L 4692
6.7%
W 4271
 
6.1%
K 3285
 
4.7%
D 2360
 
3.4%
Other values (5) 6598
9.4%
Common
ValueCountFrequency (%)
_ 2059
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71934
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
I 10697
14.9%
N 9712
13.5%
A 8125
11.3%
G 7352
10.2%
S 6778
9.4%
T 6005
8.3%
L 4692
6.5%
W 4271
 
5.9%
K 3285
 
4.6%
D 2360
 
3.3%
Other values (6) 8657
12.0%